Data Processing Jobs

I need a single, well-structured Excel workbook that lets me type in basic transaction data—client name, due date, due amount, payment date, and payment amount—and have everything else happen automatically. As soon as I record a payment the sheet should deduct it from that client’s outstanding balance, update an overall running total, and flag any amounts still owed. Alongside the main data-entry table I want three report tabs that refresh themselves whenever new rows are added: a monthly financial report, a client-by-client payment summary, and an outstanding dues report. PivotTables, dynamic arrays, SUMIFS, or Power Query are all fine; the key is that I can click “Refresh” (or, even better, have it update automatically) and see the latest numbers without ...

I have a set of text-only records that need to be moved into a clean, well-structured Excel workbook. The job is straightforward data entry—no formulas, macros, or custom formatting—just accurate transcription of each text field into its correct column using Excel’s standard layout. You’ll receive the source documents (mostly Word files and PDFs) along with a template .xlsx. All I need back is the completed workbook, double-checked for spelling, consistent column widths, and wrapped text where lines run long. Deliver the file in .xlsx format and keep the sheet names exactly as provided. If you’re comfortable working quickly and meticulously in Microsoft Excel, this should be a simple, focused assignment.

I’m ready to push our existing Geodirectory scraper far beyond its current limits. Today the crawler works strictly off public websites, but I need it refined into a true “set-and-forget” data engine that feeds richer content, sharper media and smarter metadata directly into WordPress geodirectory. Core upgrade goals • Photo harvest: bump the limit from 10 to 20 per venue, always choosing the highest-resolution shot first and applying a simple “best-shot” ranking so only the crispest images make it through. • Video discovery: move from surface-level grabs to deep crawling that can locate embeds or links on YouTube, Vimeo and any on-site player the venue hosts—basically, if a video exists, the scraper must surface it. • Radius expansion: w...

Hello, Thank you for the detailed explanation of the task. I confirm that I fully understand the scope and requirements of this project. I will manually transfer every row from all provided PDF documents into the corresponding columns of the Excel workbook you supply. Accuracy will be my top priority. All records will be entered carefully to ensure totals reconcile exactly with the source files, text is copied without typos, and all number and date formats are preserved as specified (including DD/MM/YYYY for dates and two-decimal formatting for currency). I will ensure: • Every record from all PDFs is included with no missing rows or columns • Formatting is consistent across the entire workbook • Original values are retained exactly as shown in the source documents If...

Create a file containing all of an X user's posts, and all replies to the posts, since July 2024. File to contain full info as visible on X: date and time of post, names of those replying, date and time of replies etc. Suggest your price. Thanks.

I’m looking for a reliable partner who can run a focused background check that deals exclusively with education verification for a prospective hire. No criminal-record search, no employment history digging, and no drug screening—just a clear confirmation that the academic credentials on the candidate’s résumé are genuine. Here’s what I need you to do: Verify if institution exists. Verify if it is still operating. Turnaround time is important to me, so please outline how quickly you can complete the check once I send you the candidate’s details, and let me know what verification methods or platforms (e.g., National Student Clearinghouse, direct registrar outreach) you prefer to use.

I have two related worksheets in the same workbook. The main sheet needs to display several date-and-time values that currently live on the secondary sheet, and I want this automated with clean, reliable formulas rather than manual copy-paste. What I already know: a simple VLOOKUP or HLOOKUP should do the trick, but I’m running into errors when trying to return the date/time fields and preserve the proper format. I’d like you to: • Build or correct the lookup formulas so the right date-time stamp is pulled every time. • Keep the formulas flexible enough that I can add new rows or columns later without them breaking. • Make sure the returned values stay in true Excel date/time format so I can run further calculations or filtering. Speed matters—I&rs...

I need a reliable script that can visit the Truemed website, crawl every product page, and pull out two key pieces of information for each item: • the product name (with its full description) • the current price shown on the page The result should be delivered as a clean, well-structured CSV or JSON file, along with the runnable code so I can repeat the scrape whenever their catalogue changes. A Python solution using requests, BeautifulSoup, Scrapy, or a similar library will work best for me, but I’m open to other approaches if you explain the advantages. Please build in reasonable error handling, respect Truemed’s rules, and keep the run time efficient. If pagination, lazy-loaded content, or anti-bot measures appear, the script should be able to navigate o...

I have a single workbook that holds our current inventory data. I need that data reorganised into two clearly labelled sheets, each grouped by stock level. Alongside the split, each sheet must show the average stock for its level so I can spot over- or under-stocked items at a glance. You’ll be working inside Excel only. Please rely on native features—formulas, pivot tables or Power Query, whichever you prefer—so the result stays fully editable. Data validation rules already in the file must remain intact. Deliverables • Sheet 1 – items at or below the reorder threshold, plus a line (or cell) displaying the average stock for this low-level group. • Sheet 2 – items above that threshold, again with the average stock figure. • The updated w...

My current web-scraping script is completely functional in Python but still crawls through its target list one page at a time. I need that changed. The goal is to pinpoint the slow spots, refactor the code, and introduce true parallel execution so each batch of URLs is processed simultaneously without breaking site etiquette or overloading memory. Scope of work • Profile the existing Python code, highlight the performance bottlenecks, and explain why they occur. • Implement efficient concurrency—asyncio, multiprocessing, or are fine, as long as the final solution reliably spawns parallel jobs and scales on a multi-core machine. • Keep all existing parsing logic intact (BeautifulSoup, requests, Selenium, or Scrapy modules already in place). Any module upgrades m...

I have a 150-page source document that mixes narrative text with numerical data, and I need every line captured faithfully in a single, well-structured Excel workbook. Before you begin I’ll give you the exact column headings—think of them as the blueprint for how each piece of information must land in the sheet. Once those headings are in place, your job is straightforward: type everything in, row by row, keeping the original order and spelling intact while double-checking any figures for accuracy. The final deliverable is a clean .xlsx file that matches the structure I provide, free of typos, with any unclear sections highlighted for review. If you can turn this around quickly and with a proven eye for detail, let’s get started.

The Ninja Import tool is failing to bring my product data into the system the way it should. Every attempt finishes without obvious errors, yet the records arrive incomplete or with fields in the wrong places. I need someone who knows this importer inside-out to trace the root cause, adjust any mapping rules or configuration, and prove that a fresh run pulls every product in exactly as it appears in the source file. You’ll receive the current import settings, the original data file, and a short list of product IDs I use for spot-checking. Once you’ve corrected the workflow, please run a test import on your end (or a staging copy if you prefer) and send back either the fixed configuration or a clean script so I can reproduce the success here. A quick screen-share or concise w...

I have a sizeable collection of credit-card transaction logs currently stored in raw, unstructured form (JSON payloads, free-text notes, device metadata, etc.). My goal is to transform this data into a production-ready, supervised machine-learning model that reliably flags fraudulent activity. Here is what I need from you: • Parse and cleanse the unstructured records, engineer meaningful features, and align them with my existing “fraud / not-fraud” labels. • Train and fine-tune a supervised model—feel free to choose between scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch as long as the final solution balances precision and recall and explains feature importance. • Produce an evaluation report that includes ROC-AUC, PR-AUC, confusion matrix, an...

I have a ready-made list of product names. What I need is an end-to-end pipeline that, on every run, will: • Open a Google-only search for each product name • Capture the first eight organic result URLs in ranking order • Visit those pages, and pass it to Gemini or the ChatGPT API so the model can reliably extract price, currency, brand, description and any stated delivery time • Write the collected data to both CSV and JSON, saving fresh files after every run and tagging them with a timestamp • Survive the real-world web: captchas, bot checks, rate limits, timeouts, pages that hold multiple variants, or sites that omit a field entirely all need graceful handling and clear logging. Please package the code so I can spin it up on my own machine or a small cloud insta...

I have a set of survey responses that currently live only on paper and need to be keyed into a clean, well-structured spreadsheet. Accuracy is more important than speed, but I’d still like a quick turnaround if possible. You’ll be transcribing each response line-by-line into Excel or Google Sheets—whichever you prefer—as long as the final file can be opened in Excel without any loss of formatting. Every entry must match the original text exactly; I’ll be spot-checking for data integrity before signing off. The final deliverable is a single spreadsheet containing all survey results, neatly organized and free of typos or extra spaces. Let me know your estimated completion time and any previous experience you have with data entry of this kind, and we can ge...

I already have a working Python + Flask CLI tool that processes GIS data (mostly large SHP files) and runs fibre-planning analysis on them. The problem is that everything runs one step after another, so the total execution time is much higher than it should be — especially during the web-scraping part, which is the slowest. What I want is to speed things up by running tasks in parallel instead of sequentially. Ideally, I should be able to point the CLI to a folder full of SHP files and see multiple workers processing them at the same time, with clear logs showing what’s running where. I’m open to whatever makes the most sense here — multiprocessing, asyncio, worker queues, or a hybrid approach — as long as it actually reduces total runtime in a measurable wa...

I’ve mapped out a process to apply to roles on LinkedIn, Indeed, and Glassdoor automatically and now need a polished n8n workflow that ties it all together. You’ll receive my CV, cover-letter templates, and the messaging formats I already use. Your task is to translate that into a clean, modular n8n setup that can: • pull each opportunity from a sheet or form, • generate the appropriate documents from my templates, • submit the application through the portal’s API or form endpoint, and • notify me once the application lands. Standard fields are fine; no elaborate custom objects are necessary—just a rock-solid flow that I can tweak later without digging into code. Please make the nodes readable, add brief inline notes where the logic isn&...

I have a set of PDFs that contain rows of mixed data—both text and numbers—and I need every line moved accurately into a single Google Sheet. The sheet should mirror the layout found in each PDF; please keep the order, columns, and any embedded headings exactly as they appear, without alphabetizing or re-categorizing anything. You may use the extraction method you prefer—manual typing, OCR tools, table-capture add-ons, or a combination—but the final result must be 100 % complete and error-free. Before delivering, double-check number formats (decimals, currency symbols, percentages) so they display correctly in Google Sheets. Deliverable: • One Google Sheet that recreates each PDF page in its own tab, preserving all original rows and columns. I’ll sha...

I have between 500 – 1,000 records that need to be copied or typed into a clean, well-structured table in Microsoft Excel. Accuracy tops the priority list: every cell must match the source exactly, follow consistent formatting, and pass a quick logic check before delivery. Speed matters too. I’m ready to hand you the source material today and would like the completed file back without delays, so only take the project if you can begin right away and keep communication open while you work. Deliverables • A single .xlsx file containing one clearly labeled worksheet with the full table of 500–1,000 rows, headings properly formatted. • All required fields populated, no stray spaces, duplicates, or mismatched data types. • Final file returned by the d...

I have between 500 – 1,000 records that need to be copied or typed into a clean, well-structured table in Microsoft Excel. Accuracy tops the priority list: every cell must match the source exactly, follow consistent formatting, and pass a quick logic check before delivery. Speed matters too. I’m ready to hand you the source material today and would like the completed file back without delays, so only take the project if you can begin right away and keep communication open while you work. Deliverables • A single .xlsx file containing one clearly labeled worksheet with the full table of 500–1,000 rows, headings properly formatted. • All required fields populated, no stray spaces, duplicates, or mismatched data types. • Final file returned by the d...

I need a freelancer to convert a JPEG of a digital Miro board into a structured Excel sheet that can be directly copied or imported into a project management tool. The board uses swimlanes, with each swimlane representing a system/platform and listing deliverables with date ranges. Ignore the top-level milestones — focus only on the deliverables per platform and associated dates. Accurately capture all deliverables as shown Clean, consistent formatting, PM-tool ready Timeline 3 hrs Quick turnaround preferred

I have a raw dataset sitting in an Excel workbook and I need it turned into clear, decision-ready insights. The job is strictly data analysis—no macros or automated dashboards this time—so your focus will be on exploring the numbers, uncovering patterns, and presenting findings in a way that management can act on quickly. You are free to choose the most suitable Excel tools for the task: formulas, PivotTables, descriptive statistics, conditional formatting, or charts—whatever helps communicate the story behind the data most effectively. Deliverables • A copy of the original workbook, cleaned and structured for analysis • A separate analysis sheet (or set of sheets) that contains all calculations and visuals • A concise summary tab or short write-up ...

I have a 150-page handwritten document that needs to be transcribed accurately into Microsoft Excel. The job is straightforward: capture every piece of information exactly as it appears on the pages and place it into a clean spreadsheet. I’m not requesting any complex layouts or charts—just an error-free Excel file where the content is clearly organized in rows and columns so it’s easy for me to filter and analyze later. Because the source is handwritten, legibility and double-checking are critical. I expect careful data verification to avoid transcription mistakes and a quick turnaround once the work begins. The final deliverable will be a single, well-structured .xlsx file ready for immediate use.

I have a collection of handwritten notes that needs to be keyed directly into Google Sheets and arranged strictly by date. The pages are simple—no special symbols or formatting—so the job is straight-forward data entry with careful attention to accuracy and chronological order. Here’s what I’ll provide: clear scans of each note plus a blank Google Sheet with the column headers I want. Your job is to transcribe every legible word, place each entry on its own row, and make sure the date column drives the overall order. Deliverable: a single Google Sheet fully populated and sorted chronologically, ready for me to use the moment you hand it over. If you can work quickly while maintaining spotless accuracy, this will be a smooth and likely repeat assignment.

I have a backlog of information—both text and numbers—that I need typed into a single Google Sheet so I can keep reliable records of my day-to-day operations. Everything will be supplied in clearly scanned PDFs and a few Word files; your job is to key the content into the sheet, double-checking that every character and figure is transferred exactly as it appears in the source. The sheet is meant strictly for record-keeping, so accuracy and consistency matter more than fancy formatting. A clean column layout is all I require right now, though I’m open to suggestions if you see an obvious way to make the data easier to read. You’ll receive: • Source files in batches • A blank Google Sheet with the basic column headers already created I’m looking...

I need a lightweight software program devoted to processing text data. The core job is simple: read raw text, run a configurable set of transformations, and return clean, structured output. A command-line or very minimal GUI is perfectly acceptable—as long as the program is fast, reliable, and easy for me to extend later. The workflow I have in mind is: • Import plain-text from files or clipboard • Apply user-controlled actions such as find/replace, case conversion, deduplication, word- or character-count statistics • Export the processed result to .txt or .csv Feel free to employ whatever language or framework you are most productive with (Python, Go, C#, Rust, etc.). Cross-platform execution on Windows and macOS would be ideal, but if you have a compelling altern...

**Title:** Public Directory Data Collection – 1 Website **Description:** We need a reliable freelancer to **collect publicly available information** from official directory website, in **full compliance with each site’s terms of use** and applicable laws. **Your task:** Gather directory listing details from the public sections of the following site: 1.  (  ) **Fields to collect (where visible):** * First NameMiddle Name* Last Name* Business Name Address Category Specialty: Website Phone Email Business Listing URL **Important:** * Only collect **publicly visible** data. * No unauthorized access or breach of site terms. * Data must be accurate, complete, and delivered in **Excel format**  * If some fields are unavailable, clearly note why in a separate docume...

I have a raw dataset sitting in an Excel workbook and I need it turned into clear, decision-ready insights. The job is strictly data analysis—no macros or automated dashboards this time—so your focus will be on exploring the numbers, uncovering patterns, and presenting findings in a way that management can act on quickly. You are free to choose the most suitable Excel tools for the task: formulas, PivotTables, descriptive statistics, conditional formatting, or charts—whatever helps communicate the story behind the data most effectively. Deliverables • A copy of the original workbook, cleaned and structured for analysis • A separate analysis sheet (or set of sheets) that contains all calculations and visuals • A concise summary tab or short write-up ...

I have a spreadsheet holding well over 100,000 mixed-type records—text fields, numeric columns, a few calculated cells—and it needs to be brought to a usable state. Right now the file is a single Excel workbook; no separate databases or flat files are involved. Two things must happen: • Data entry – several columns are still blank or contain placeholder codes that need to be filled from a secondary sheet I will supply. • Data cleaning – duplicates removed, inconsistent text normalised, numeric outliers flagged, and all formulas verified so totals match source balances. The finished workbook should open quickly, pass a spot-check for accuracy, and be free of hidden errors (broken links, stray formats, unused styles). Feel free to use Power Query, VBA, ...

My work responsibilities are expanding, and Excel is at the heart of nearly every new task that lands on my desk. I want to move from merely competent to genuinely advanced, so the focus is on practical, job-ready techniques rather than academic theory. Expect to guide me through topics like nested formulas, dynamic arrays, data analysis with Pivot Tables or Power Query, and light-weight VBA automation where it will save time. We will meet online, share screens, and tackle anonymised files pulled straight from my day-to-day workload. After each session I need a concise cheat-sheet and an annotated version of the workbook so I can practise and reference later. Deliverables • Live, hands-on training sessions (recorded for replay) • Example workbooks showcasing each concep...

I have a Python 3.12.3 project that ingests video streams and image batches for face recognition (mtcnn 1.0.0 + insightface 0.7.3), OCR (paddleocr 2.10.0 on paddlepaddle 3.0.0 / paddlepaddle-gpu 2.6.2), and post-processing with scikit-learn 1.6.0. Although one GPU-ready wheel is present, all processing still executes on the CPU. The goal is full NVIDIA CUDA utilisation across the entire workflow, from frame decoding to final inference. I need you to: • Profile the current code, pinpoint CPU-bound sections, and migrate or rewrite them for GPU execution (CUDA, CuDNN, cuBLAS, or other relevant CUDA-based APIs). • Update or swap libraries where necessary—feel free to recommend faster CUDA-compatible alternatives if they will not break accuracy (e.g., CuPy, TensorRT, NVIDI...

I need someone that have access to Google Ads Reach Planner to pulled data

I need a well-structured Excel sheet to record responses to 11-50 predetermined text-based questions. The sheet should be user-friendly and organized to facilitate data entry efficiently. Additionally, it should be capable of generating a concise summary report of the recorded responses. Ideal skills include proficiency in Excel, data organization, and report generation. Looking forward to your proposals!

I have a batch of consistently-formatted PDFs containing alphanumeric information that needs to live in Google Sheets. Every PDF follows the same layout, so once the first few rows are mapped the rest should flow smoothly. You will receive the full set of digital files plus a Sheet template with the exact column order I expect. Your job is to extract each field from every PDF and enter it into the corresponding cell, preserving all characters exactly as they appear (including spaces, dashes, or any other symbols that are part of the data). Deliverable: • A Google Sheet, fully populated and spot-checked for accuracy, ready for me to share with my team. If you prefer using automated tools—Python, App Script, or specialized PDF extraction software—that’s fine as long...

I already have the raw figures for each month on hand, but they’re scattered across multiple worksheets and exports. Your first task will be to tidy everything up in Excel—clean the headers, standardise date formats, and reshape the data so each row represents a single month. Once it’s structured, I need two core metrics calculated and tracked: total revenue and profit margins. Feel free to build pivot tables or add calculated columns if that speeds up the workflow. With the cleaned dataset ready, move the analysis into Power BI. I want a focused, interactive report that lets me: • glance at monthly revenue trending over time • compare profit margins month-by-month • drill down quickly using slicers for product lines or regions should I decide to expa...

I have a set of websites from which I need all relevant textual content pulled and organised neatly in an Excel workbook. The task is straightforward: visit each URL I provide, extract the required text sections, and enter them into clearly labelled columns so the file is ready for analysis the moment I open it. Accuracy and consistency matter more to me than speed. I’ll supply the list of sites, any field-by-field instructions, and a template sheet so you know exactly where each piece of text belongs. When you finish, I expect: • A clean, fully populated Excel file that matches my template • No missing entries or formatting issues If you automate the process with scripts or scraping tools, that’s fine—as long as the final spreadsheet is complete and human-...

I’m building a simple yet reliable system to log and analyze my trades, and I want the entire workflow contained in a single Excel file. The sheet has to let me enter trades in both the stock and crypto markets, capturing three fields only: the trade date, the ticker or symbol, and the profit or loss for that position. From there, the file should automatically calculate my running totals, my average profit or loss per trade, and the amount that I can gained or loss, and the percentage return so I can see how efficiently I’m trading over time. Please structure the workbook so data entry is friction-free—clean column headings, drop-down validation for asset type if helpful, and clearly separated summary metrics. All formulas need to be transparent and easy to audit; no hid...

I’m building out the next version of our influencer-marketing Scope of Work: Design and implement automated data ingestion from Instagram, YouTube, and TikTok APIs Influencer whitelisted access (where applicable) Tracking links (UTM / affiliate links) Brand website and sales analytics (e.g., GA4, Shopify) Manual CSV upload as a fallback Normalize and validate campaign data across platforms Map data to campaigns, influencers, and content Build a campaign performance dashboard showing key metrics such as: Reach, impressions, views, engagement Clicks, conversions, revenue, ROI/ROAS Influencer- and content-level performance Ensure data is refreshed automatically and handles partial or missing data gracefully Display the data Need a person with good experience in data inge...

I am looking for a developer to build a proprietary performance-tracking system for a team of 100+ athletes and 10-12 team captains. Core Workflow: • Master Data: Sync an external roster (Google Sheets/ARMS) to Jotform. However, if this is challenging, we can do a manual download of the team db from ARMs on a frequent basis, if necessary. • Dynamic Point Reference Table: A central, modifiable table (in Google Sheets or Jotform Tables) that stores point deduction values for each incident category. The system must pull values from this table so that, if a point value is modified, future incidents are automatically calculated at the new rate. • Coach Input: A Jotform App for coaches to log incidents with a "Wheel Picker"/Select2 player selection and automated point-d...

Data Management for Customer Data with Data Analysis in Excel Spreadsheet The project requires managing customer data with the added task of data analysis. The final output should be a well-organized Excel spreadsheet. The ideal candidate should have experience in data management and analysis, as well as proficiency in Excel. The following tasks are expected to be carried out: - Organize and manage customer data - Conduct data analysis to identify trends and patterns - Create an Excel spreadsheet that presents the data in a clear and concise manner - Ensure the accuracy and completeness of the data - Provide recommendations based on the analysis Skills required: - Data management - Data analysis - Excel proficiency - Attention to detail - Time management - Communication skills Experie...

I have a batch of PDFs that contain a mix of text and numbers that need to be transferred with absolute accuracy into a Google Sheet I’ll share with you. The columns are already set up, so the job is straightforward: read each PDF, extract every piece of information exactly as it appears, and place it in the correct cell without introducing typos, rounding errors, or formatting glitches. The task is finished when the entire dataset from the PDFs is visible in the sheet, formulas still work, and spot checks show a perfect match between source and destination. If you have handled similar PDF-to-Sheet assignments before, please attach examples of that past work with your bid so I can quickly confirm your experience level. I’ll be available for clarifications throughout the proje...

I have a fresh Google Sheet that needs to be populated entirely with text, entered manually from physical or digital notes I will provide. The sheet must already include basic data-validation rules so every entry is consistent and error-free; no other advanced features are required at this stage. Here’s what I’m looking for: • Build or adjust the Google Sheet to include the necessary columns and apply appropriate data-validation settings (e.g., restrict certain fields to specific text formats or allowed words). • Manually type all supplied text data into the sheet with careful attention to accuracy and formatting. • Double-check each entry against the source material so the final document is clean and ready for immediate use. I will share the Google link on...

I need an Excel-based automation that turns our raw company KPI data into clear, refreshable reports. The workbook should import or paste monthly updates, process them automatically, and present production-efficiency metrics in a dashboard that managers can print or export to PDF in one click. Here’s the flow I have in mind: • Raw data sheet where I can drop each month’s figures. • Behind-the-scenes formulas / Power Query / VBA (whatever you find most efficient) that clean, aggregate, and store the numbers. • A dynamic report tab with charts, conditional-format tables, and traffic-light indicators showing how production efficiency is trending month-over-month. Please keep the file self-contained—no external add-ins—so anyone with standard Exce...

I need an extra pair of quick, accurate hands to move plain text and numeric information into a Google Sheet I’ve already set up. The job is strictly data entry—no formulas or special formatting are required—so the focus is on careful typing, correct placement in each column, and a fast turnaround. You’ll receive the source files (mostly PDFs and scans) along with the sheet link. Simply transfer each item to its matching row without changing fonts, colours, or layouts. When you finish, I’ll run a spot-check against the originals; if everything aligns, the task is complete and we can wrap up immediately. If you’re comfortable working in Google Sheets, have a solid eye for detail, and can start right away, I’m ready to share the files.

Please gather verified contact information from vendors in open-air markets through direct, door-to-door outreach rather than scraping online directories, business websites, or social media. The data set must include for each business: • Phone number • Email address • Physical (stall or shop) address Record everything in a clean Excel or Google Sheet, one row per vendor, with separate columns for Business Name (if available), Phone, Email, and Address. Accuracy is essential, so double-check spellings and digits on site before you log each entry. Once complete, share the spreadsheet and any field notes you kept while collecting the information so I can cross-reference if needed.

I'm looking for an expert data analyst to examine our customer data. The goal is to uncover valuable insights into customer behavior patterns. Requirements: - Analyze customer data using Excel/CSV files - Focus on identifying customer behavior patterns Ideal Skills: - Proficiency in Excel and data analysis tools - Experience with customer data and behavior analysis - Strong analytical skills and attention to detail Please provide examples of similar work done.

I have a workbook with four to five related sheets and need a set of advanced formulas that will pull, process, and summarise data exactly where I need it. Some of these formulas must reach across the sheets—for instance, a lookup drawing values from a master sheet—while others can remain self-contained within their own tab. You’ll start with the file as it stands today, review my current structure, then build or refine formulas so that: • cross-references update instantly when source data changes, • stand-alone calculations stay protected from accidental overwrites, and • every function remains clear enough that I can maintain it later without hunting through nested syntax. I expect the final deliverable to be the updated workbook plus a brief,...

I'm looking for a skilled developer to build an AI program that will flag discrepancies in oil and gas invoices. This is essential for mitigating financial losses. The AI should be able to identify: - Duplicate invoices - Incorrect prices - Unauthorized charges Ideal skills and experience: - Proficiency in AI and ML development - Experience in invoice processing and anomaly detection - Familiarity with data integration from various sources (DB, Excel, APIs) - Strong programming skills, preferably in Python, Java, or JavaScript Please provide examples of similar projects you've completed.

Project Overview I'm seeking an experienced Computer Vision Research Engineer to lead a technical benchmarking project for my development team. This is an exploratory R&D role, not a straightforward implementation task. The Technical Challenge: We need to achieve frame accurate foot contact detection (±1-2 frames) from 2D video footage captured with a moving/panning camera. This is a non trivial computer vision problem because camera ego motion makes it difficult to distinguish actual ground contacts from apparent motion in screen space. What We Need You will evaluate multiple state of the art approaches to solve this problem and recommend the best solution for our production pipeline. Your Responsibilities This is an exploratory R&D collaboration, not a rigid checkli...

I have outlined a set of workflows inside this brief () and now need an n8n specialist to turn the plan into a fully functioning automation suite. Here’s what I expect: • Build, configure and test each workflow exactly as described in the document. • Provide clear, inline comments or notes inside n8n so I can understand every step and tweak things later without guesswork. • Demonstrate the finished flows live (or by loom/video) and supply an export file so I can import the final version to my own instance. Everything must run in the latest stable release of n8n and use native nodes whenever possible to keep maintenance simple. If you’re confident with n8n, API endpoints and webhooks, let’s get this moving.