Statistics Jobs

I need a license-plate recognition engine that can reliably read Qatar, UAE, and Saudi Arabia plates when they appear in either still images or live video streams. High accuracy is non-negotiable—I am targeting production-level performance suitable for enforcement and analytics, so false positives must be minimal and confidence scores exposed. To succeed you will design, train, and package a full ANPR pipeline that: • detects the plate region in diverse lighting and angles, • recognises Arabic and Latin characters as well as the specific colour codes and icons used across the three countries, and • delivers results fast enough for real-time video (traffic-camera frame rates) while also accepting batch image inputs. Please outline your preferred tech stack (Open...

I have a series of Excel spreadsheets containing purely numerical figures that must be transferred into my central database and then examined for basic trends. Your first task is accurate, error-free entry of every number exactly as it appears in the source sheets. Once the import is complete, I’ll need you to run a light analysis: calculate sums, averages, and any obvious outliers, then present those findings back to me in a concise summary (charts or pivot tables in Excel are fine). A good understanding of Excel shortcuts, formulas, and data-validation techniques will keep this job moving quickly, so please be comfortable with those tools. Accuracy comes first, but I also value clear communication on progress or anomalies you notice while working. Deliverables: • Clean, full...

I am looking for an experienced Python developer to build an automated short-term trading system for equities and derivatives. The system should combine market-making techniques with price-action and momentum-based signals, using live data from a broker API or low-latency market-data service. Core Requirements - Connect to a live broker/data API and continuously process tick prices, executed trades, bid/ask quotes, and order-book depth. - Analyze market depth and short-term order flow to estimate fair price, micro-price movement, spread conditions, and liquidity changes. - Generate and manage buy and sell quotes based on real-time market conditions. - Detect short-term opportunities using candlestick patterns, breakouts, momentum, trend conditions, and price-action signals. - Automatically...

I have a dataset that captures our customers’ interactions, purchases, and demographics, and I need a clear, well-documented analysis that turns those raw numbers into actionable insights. Your task is to explore the customer data, surface the key patterns, and explain what they mean for marketing, retention, and product decisions. The scope includes: • Cleaning and preparing the raw files (likely CSV exports from our CRM) • Running descriptive and exploratory analyses to uncover trends, anomalies, and correlations • Producing a concise written summary that highlights the most impactful findings and recommended next steps • Creating intuitive visualizations—feel free to suggest the best format, whether that ends up being charts, a compact dashboar...

I’m working with a raw financial dataset and I need it taken from “messy” to “decision-ready.” The core goal is to surface meaningful trends, so every step—from preparation through visualization—must support that objective. You’ll start by importing the data into Excel or a SQL environment and normalizing the fields so they’re analysis-ready. Once the structure is consistent, feel free to apply Python (Pandas, NumPy, matplotlib/seaborn) for deeper profiling and any additional quality checks you find useful. When the numbers line up, shift the focus to insight generation: uncover the key trend lines, seasonality patterns, or shifts that matter to stakeholders. The polished story should appear in Power BI: an interactive dashboard with ...

I have a collection of numerical datasets and I’d like a well-structured Python workflow that lets me explore, clean, visualise and extract clear insights from them. The scope covers everything from loading raw files through to producing a set of summary statistics, meaningful charts and a concise write-up of the findings. Quality matters more to me than speed, so feel free to propose thoughtful approaches—whether it’s a classic pandas / NumPy pipeline, more advanced SciPy techniques or even light machine-learning models if they add value. I’ll supply the data and clarify any domain specifics once we start. Deliverables I expect: • Fully commented Python code (Jupyter Notebook or .py) • Cleaned dataset ready for future work • Visualisation...

I need an Excel expert to create several formulas for a spreadsheet. Essential Requirements: - Ability to perform mathematical calculations, including basic arithmetic, statistical functions, and financial calculations. - Experience with text manipulation functions. Ideal Skills and Experience: - Proficiency in Microsoft Excel - Strong analytical skills - Experience with complex formulas and functions - Attention to detail Please provide examples of previous work.

I will be sharing a clean set of sales data and need a focused analysis that uncovers two things: how our monthly sales are growing over time and which products are truly driving (or dragging) that growth. The work should culminate in clear findings I can present directly to leadership—concise insights, supporting charts, and any key metrics you calculate along the way. Feel free to lean on Python (pandas, matplotlib / seaborn), R, Excel Power Query, or a BI tool such as Tableau or Power BI if it speeds your workflow; the choice is yours as long as the results are reproducible and easy to follow. Deliverables • A brief written summary of monthly sales growth and product-level performance, highlighting notable spikes, dips, and emerging patterns. • Visualizations (li...

I’m looking for reliable help on a data-analysis assignment that leans heavily on solid technical skills. The task revolves around cleaning, exploring, and drawing clear insights from raw datasets so I can turn them into meaningful, decision-ready findings. If you routinely work in Python (Pandas, NumPy, Matplotlib, or Seaborn) or R, and you’re comfortable building concise reports or dashboards, you’ll feel right at home with what I have in mind. Your workflow should include transparent documentation of the steps you take so I can replicate or extend the analysis later. When you send your proposal, put your experience front and center—briefly outline similar projects you’ve handled, the tools you used, and the measurable outcomes you achieved. That context w...

I’m opening a remote fellowship at for inquisitive minds who want to push the frontier of Artificial Intelligence through truly exploratory research. The programme is research-and-development first, so there is no pressure to ship a commercial product; instead, you will be encouraged to formulate your own questions, test bold hypotheses, and document everything openly. You should already be comfortable reading recent AI literature, writing reproducible code (Python, PyTorch, JAX—use what feels right), and explaining complex ideas clearly. During the fellowship we will meet weekly to refine research directions, share findings, and make sure the work stays original and rigorous. Acceptance criteria & key deliverables • A one-page research proposal with clear questio...

We are preparing a small validation study for a consumer body-composition device. We need a biostatistician to help review the protocol and analyse test-retest reliability and agreement, including ICC, least significant change / measurement error, and Bland-Altman analysis. The engagement is small and focused, likely around 10–20 hours. Experience with medical devices, measurement reliability, repeated measures or clinical research is preferred. Please share one relevant example of a reliability/agreement analysis you have personally performed.

I am seeking a credentialed actuary or PhD/PhD-candidate statistician interested in a consulting project related to life expectancy calculation. I am a physician who regularly does consulting work related to life expectancy determination. I have developed a web-based calculator which I use in my work; I plan to publish that as both an article and book. A co-author to help validate and expand my medicolegal statistics would be very helpful. I am seeking someone who has experience with areas including: Survival analysis and survival curves Mortality/life-table methods and actuarial concepts Competing-risk models Epidemiology or population-health data R and/or Python for statistical analysis Documentation suitable for medico-legal or expert-report work Pay will be part-time hourly comme...

WE ARE HIRING | DATA SCIENCE & DATA ANALYTICS TRAINER Analytical Edupoint, a venture of Omnicert Technologies Pvt. Ltd., is looking for an experienced and passionate Data Science & Data Analytics Trainer to join our team. Location: Near Saket Metro Station, New Delhi Position: Data Science & Data Analytics Trainer Experience: 5+ Years of relevant industry/training experience Salary: ₹30,000 – ₹60,000 per month Working Hours: 10:00 AM – 7:00 PM Work Mode: Full-Time | On-Site Immediate Joiners Preferred Key Skills Required Advanced Excel SQL & Database Concepts Power BI Tableau Python for Data Analytics Statistics & Data Analysis Data Visualization ChatGPT & Generative AI Real-World Projects & Case Studies Machine Learning / AI experienc...

Here's a profile for Freelancer.com, based only on what's in your resume. I haven't added any client claims or results you can't back up. **Professional headline (pick one)** - Power BI & Excel Data Analyst | Dashboards, Reporting & Market Research - Business Analytics MBA | Power BI Dashboards, Excel Reports & Consumer Insights **Profile description** Hi, I'm Saheb, an MBA candidate in Business Analytics & Marketing. I help small businesses and startups turn raw, messy data into clear dashboards and reports they can actually use to make decisions. **What I can do for you** - **Power BI dashboards:** interactive dashboards with KPI cards, charts, and filters, built so non-technical people can read them at a glance - **Excel data cleaning and ana...

I need a compact yet insightful Power BI dashboard focused on sales analysis. The key visuals I want to see are Revenue by Product and clear Monthly Sales Trends, all driven from a set of Excel/CSV files that I cannot email or upload because of strict company policy. Since I am based in Hyderabad, I can meet you at my office or any convenient coworking space, walk you through the data on my laptop, and give you the field definitions you’ll need. Once you understand the structure, we can collaborate in person or via screen-share to shape the report, set up the proper relationships, and fine-tune the DAX so totals and time-intelligence functions behave correctly. What I expect at the end: • A polished .pbix file with interactive visuals for Revenue by Product and Monthly S...

NOTE-1: If earning money is your main objective, please don't bid. NOTE-2: Applicants focusing solely on "Thesis Writing" or similar services will not be considered at all. Seeking an established STEM researcher for long-term collaboration. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-up publications.

I need a data-savvy partner to dive into our historical sales data and turn it into an accurate, usable forecasting model. The raw files are already cleaned and stored in CSV format; what I lack is the analytical muscle to translate those numbers into forward-looking insight. The core objective is simple: improve our sales forecasting accuracy so we can plan inventory and staffing with greater confidence. I’m open to whichever toolset you’re most comfortable with—Python (pandas, scikit-learn, Prophet), R, or even advanced Excel/Power Query—so long as the end result meets these acceptance criteria: • A well-documented forecasting model that can be refreshed with new monthly data • A concise report explaining your methodology, key assumptions, and perfor...

I need a streamlined Excel workbook, built around Power Query, that projects our revenue based solely on the market analysis reports we receive each week. The idea is to load those reports, transform and cleanse them through repeatable Power Query steps, and funnel the result into a clear forecasting model—charts, pivot tables, and any DAX-driven measures you feel improve readability are welcome, but keep everything inside Excel so my team can follow the logic. The workflow should let me drop a fresh report into a folder every Monday, hit refresh, and immediately see updated projections for the coming months. No manual copy-pasting; all connections and calculations need to refresh automatically. Deliverables • An unlocked .xlsx file containing the Power Query routines, for...

I want to turn the headline “Plastic banned” into a lively piece of educational content that helps children and students understand exactly how single-use plastics damage our land and oceans—and why a full ban is so critical to their own health and the planet’s future. Scope • Shape the core narrative around the urgent need to ban plastic, blending science-based facts with relatable everyday examples. • Keep the tone age-appropriate: clear explanations, colourful language, engaging questions or mini-challenges that invite classroom discussion. • Present statistics and visuals that compare plastic pollution on land versus in the ocean, highlight wildlife impacts, and show simple lifestyle swaps kids can champion at home or school. • Inc...

I’m revamping an advanced genetics course and need a concise, high-precision scoring rubric that my teaching assistants can apply reliably. The sole focus of this instrument is to evaluate each student’s understanding of genetics concepts at PhD level depth—accuracy of explanations, integration of molecular, population and quantitative perspectives, and the ability to connect theory to cutting-edge findings. Because teaching assistants will be the primary users, the descriptors must be crystal-clear, jargon-free, and paired with short usage notes so that two different graders reach the same conclusions. While research skills and communication will be assessed elsewhere, this rubric is strictly for conceptual mastery. Deliverables • A one-page, multi-level rubri...

I have collected a small set of survey responses for an MBA research assignment that explores inequality within the healthcare sector. The data are already entered in SPSS; what I now need is a clear statistical story that highlights any patterns or trends that emerge. Here is what I am after: • Descriptive statistics first—frequencies, measures of central tendency and dispersion—so that the basic shape of the data is obvious at a glance. • Two specific inferential checks: an ANOVA where it makes sense to compare group means and a Chi-square test on the categorical variables, both run and reported directly from SPSS. The end goal is to spot and articulate meaningful patterns rather than formally test a single hypothesis, so please keep the interpretation narra...

I’m looking for an experienced independent AI engineer to review and improve an existing Python document-analysis and decision-support prototype. It processes PDFs containing text, tables, diagrams and measurements, retrieves relevant source material, and produces structured recommendations with supporting citations. The core implementation is already in place: - PDF text and image extraction, with a local searchable document index. - Adaptive retrieval and source citations. - Model integration, caching and bounded workflow steps. - Output validation, safeguards and human-review fallback behavior. - Detailed traces, replay tools, automated checks and live-model experiments. My current internal readiness estimate is approximately 70/100, with a target of 90–95/100 supported by...

I’m looking for focused, one-on-one help in Excel so I can turn raw management data into clear, executive-ready visuals. My priority is data analysis in the form of data visualization, and I want to concentrate specifically on Conditional Formatting and Sparklines. I already know the basics of spreadsheets; what I need are practical techniques that let me highlight trends, embed tiny in-cell charts, and package everything into a monthly report that prints—or exports to PDF—without surprises. Please work with the real files I’ll share, walk me through best-practice layouts, and show me how to keep everything dynamic so the visuals update automatically as new numbers arrive. Deliverables • Live screen-share coaching sessions scheduled over the next two week...

I am putting together a single, end-to-end machine-learning pipeline that can ingest three kinds of data—text, numbers, and images—and turn them into actionable insight. The heart of the project is a blend of data analysis, prediction/forecasting, and natural language processing. I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. For text I will supply customer reviews, social-media posts, and scientific articles. I want sentiment and topic extraction from the reviews and posts, and key-concept summarisation for the articles. On the numerical side I have time-series and tabular metrics that need feature engineering followed by forecasting. Finally, the image component involves basic classification and the o...

I'm seeking a skilled coder fluent in Lithuanian to assist with the analysis of quantitative data from newspapers. Key Tasks: - Analyze quantitative data from Lithuanian newspapers - Ensure accuracy and reliability in data interpretation Ideal Skills and Experience: - Proficiency in Lithuanian - Strong background in quantitative data analysis - Experience with coding and data processing tools - Attention to detail and analytical mindset Please provide relevant experience in your bids.

Je cherche un soutien pour accomplir une tâche créative : transformer nos données marketing brutes en enseignements clairs et inspirants. Ma priorité est l’analyse de données ; je fournis les exports (CSV ou Excel) issus de nos campagnes e-mail, réseaux sociaux et publicités payantes. Je souhaite : • un nettoyage rapide des datasets pour éliminer doublons et valeurs aberrantes, • des visualisations percutantes (tableaux de bord, graphiques interactifs ou infographies) capables de raconter l’histoire derrière les chiffres, • une synthèse écrite mettant en avant les KPI clés, les tendances remarquables et des pistes d’optimisation créatives pour nos prochaines a...