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$15 USD / hour
Flag of PAKISTAN
abbottabad, pakistan
$15 USD / hour
It's currently 6:09 PM here
Joined February 3, 2014
1 Recommendation

Muhammad S.

@mshoaib123

4.7 (9 reviews)
3.6
3.6
82%
82%
$15 USD / hour
Flag of PAKISTAN
abbottabad, pakistan
$15 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
22%
Repeat Hire Rate

Data Science Enthusiast

My Main Expertise are as Follow. 1. Statistical Data Analysis which includes Regression Analysis, Time Series Data Analysis, ANOVA, ANCOVA, Probability and Probability Distribution, Bayesian Data Analysis, Geostatistics, Biostatistics, Agriculture Statistics etc. 2. Machine Learning and Deep Learning which includes Decision Tress, Regression Tress, Random Forest, Naive Bayes, ANN, U-Net, Seg-Net, Google Net and Res-Net etc. 3. Remote Sensing and GISc which Includes Environmental Data, Satellite Image Processing, Photogrammetry, ArcGISc, QGISData Analysis for Earth Sciences InSAR, DinSAR and Topographical Analysis etc. 4. Main Tools which includes Python libraries(Numpy, TensorFlow, Pytorch, Matplotlib, Pandas etc), R, Erdas Imagine, Envi, Google Earth, ArcGis, Qgis, Matlab, Knime, Statistica, Sata, Minitab, MS Excel for Data Analysis(Pivot Chart, Pivot tables, Dashboards etc), Weka, IBM SPSS etc. 5. Writing software which includes Latex, MS word, Bibtx and Reference Manager Mandeley etc.

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Portfolio

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Reviews

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Showing 1 - 5 out of 9 reviews
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5.0
$40.00 AUD
Skillful, will surely hire again...
Statistics
Business Analysis
W
Flag of Saurabh S.
@Wizmate
•
10 years ago
5.0
$40.00 USD
Very knowledgeable in statistics and SPSS. He's a great freelancer and works quickly. I would definitely recommend him.
Data Processing
Statistics
User Avatar
Flag of James C.
@jjcoveyou
•
10 years ago
5.0
$40.00 USD
great as always
C++ Programming
U
Flag of Xdinoo J.
@unera12
•
10 years ago
5.0
$40.00 USD
very nice work.and on time .
Statistics
Mathematics
U
Flag of Xdinoo J.
@unera12
•
10 years ago
4.2
$222.00 USD
Delivered on time. Very professional.
Technical Writing
Report Writing
Data Mining
User Avatar
Flag of ashrafsooba
@ashrafsooba
•
10 years ago

Experience

Data Scientist

360 Technologies (Dept 360 Logics)
Dec 2013 - Present
Our specialization in Data Management and Business Consulting helps us in delivering valuable solutions to our clients, enabling them in making informed decisions in limited amount of time. We are capable of delivering results faster with significantly less risk and initial investment. Our key service offerings are: usiness Intelligence 1.Advanced Analytics 2.Data Warehousing 3.Data Science 4.Predictive Analytics 5.Machine Learning 6.Data Quality Assurance

Data Scientist

Protege Global Islamabad
Feb 2013 - Dec 2013 (10 months, 1 day)
Working on Medical Lien Management, California, USA projects, performing data analysis on medical insurance settlements; is making exploratory and predictive models for insurance claims and settlements, performing data pre-processing and transformations, Supervised and Unsupervised learning and data mining, Stochastic patterns of the data, Monte Carle Simulations, manifold techniques for non-linear data, regression, time-series, classification and cluster analysis using various tools.

Education

Computer Science

Pakistan 2012 - 2014
(2 years)

Masters in Statistics

Quaid-e-Azam University, Islamabad, Pakistan 2010 - 2012
(2 years)

Qualifications

Artificial Neural Networks

IEEEXPLORE
2013
In computer science and related fields, artificial neural networks are computational models inspired by animals' central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition. They are usually presented as systems of interconnected "neurons" that can compute values from inputs by feeding information through the network.

Content-based image retrieval

IEEEXplore
2013
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to concept-based approaches. "Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image. The term "content" in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because most web-based image search engines rely purely on metadata and this produces a lot of garbage in the results. Also having humans manually enter keywords for images in a large database can be inefficient, expensive and may not capture every keyword that describes the image.Thus a system that can filter images based on their content would provide better indexing and return more accurate results.

Publications

Data Mining in Insurance Claims(DMICS) Two-way mining for extreme values

IEEEXPLORE
In insurance claims extreme values are inevitable and cannot be discarded for predictive model building. Moreover, settling insurance claims involves many objections, human sentiments and unseen factors which are hard to be estimated. This simple fact presents the greatest challenge to analysts working on such problems. This paper presents an optimal approach to minimize the effects of this problem on predictive analysis. The data in question includes insurance settlement cases.

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