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Volodymyr G.
Available: 29 Jun 2018
SENIOR /team lead
Data Scientist with PhD background in Economics
A skilled Data Scientist with over 10 years of experience in data mining activities, data preparation, data analysis, and modeling. Volodymyr understands business's needs good and has practical experience in building different causal and probabilistic models using VaR, Levenberg-Marquardt, Ramsey-Cass-Koopmans, Hull-White, IBM Fish, and others. He has a good grasp of Big Data tools and data preprocessing and analysis tools, namely Data science, SciPy, NumPy, and pandas. Having a strong understanding of machine learning algorithms and libraries, he can effectively apply them to working with deep and machine learning. He is also a certified operator of IBM SPSS Modeler.
All rates are indicative
Usually responds within 1 hour
GMT+3
Lviv/Ukraine

TECH STACK

Programming Languages:

Python

Operating Systems:

Linux Ubuntu Windows

Development Tools:

MATLAB Octave Maple

Libraries/Frameworks/Tools:

Python Numpy Python SciPy

EXPERIENCE

Industry Experience

E-Commerce & Retail, Law & Government, News & Media, Fashion & Style, Human Resources & Career, Entertainment & Games, Information services & Technologies, Logistics & Transportation

Product Experience

Apparel recognition system, Document structure understanding, Chatbot, Fashion prototype generation tool, People management system, Software application, Career path recommendation tool, Macroeconomic analytics, Analytics

PORTFOLIO HIGHLIGHTS

Sep `16 – Present

1 year

R&D model

Data Scientist

An apparel industry company

The task was to recognize customer apparel tastes and combine them with gender, age, and race.

Technologies Stack:

Python

Industry:

E-Commerce & Retail

Product:

Apparel recognition system

Mar `17 – May `17

2 months

Structuring engine

Data Scientist

Legal company

The task was to build an engine that processes the .pdf and returns the location of different meaningful document parts. Provided modules: • PDF processing module. • Converting parts to vector representation. • Model training and validation. • REST API with simple web interface preparing.

Technologies Stack:

Python Natural Language Processing

Industry:

Law & Government

Product:

Document structure understanding

Dec `16 – Jan `17

1 month

Chatbot development

Data Scientist

Huge marketing company

The task was to build the chatbot that can understand user requests, clarify them and cast to database queries.

Technologies Stack:

Python

Industry:

News & Media

Product:

Chatbot

Jul `16 – Sep `16

2 months

Designing apparel with neural style transfer

Data Scientist

An apparel industry company

The Customer needed a model consisting of few methods for image and style translation or mixing which would be applied in fashion industry. That would minimize the time for designing and prototyping, as well as add creativity.

Technologies Stack:

Python

Industry:

Fashion & Style

Product:

Fashion prototype generation tool

Feb `16 – Jun `16

4 months

HR system

Math Analyst

A global consulting leader in talent, health, retirement, and investments.

The aim of the project was to develop a people management system that would provide everything needed to make HR management simpler and more effective including embedded workflows, advanced security, and easy configuration options.

Technologies Stack:

Python

Industry:

Human Resources & Career

Product:

People management system

May `15 – Jun `16

1 year

Stage illumination automatization

Math Analyst

A global lighting solutions and services provider

The Customer requested a software application capable of determining the parameters for every single luminary (out of hundreds possible) in order to project a desired picture onto a non-planar scene (stadium, theatre, mall, etc.).

Technologies Stack:

Python Data Science

Industry:

Entertainment & Games

Product:

Software application

Jan `15 – Jan `16

1 year

Career advisor

Math Analyst

Ukrainian IT Company

Our team has developed a tool that allow its users to predict possible career development paths based on their previous experience, industries they worked in, skills, education, and more. But, more importantly, this model suggests which skills, education or career steps are required to be more successful and reach one’s career goal in minimum time.

Technologies Stack:

Apache Hadoop Python Tableau Apache Hive Apache Spark

Industry:

Human Resources & Career

Product:

Career path recommendation tool

Jun `14 – Sep `14

3 months

Market capacity forecasting

Math Analyst

A global provider of consulting services.

The Сustomer requested a solution that would help them to forecast the future on the market by means of mathematical modeling. The final product was capable of gathering information about the market, processing it, and forecasting the future state of the given market with almost 96% of accuracy.

Technologies Stack:

Python Python Numpy Python SciPy

Industry:

Information services & Technologies

Product:

Macroeconomic analytics

Mar `14 – Jun `14

3 months

Pricing model

Math Analyst

The leading public transport service provider from Germany.

The Customer requested a system that would help to analyze the business process, adjust pricing policy, and optimize profitability. While working on this project, it was needed to determine the key factors of the business process, collect relevant data, analyze it, and create a mathematical model capable of providing the necessary results.

Technologies Stack:

Python Python Numpy Python SciPy

Industry:

Logistics & Transportation

Product:

Analytics

EDUCATION

Academy of Commerce, Lviv

Master’s degree – Economics

Data Science agency #120

400+
Lviv/Ukraine
GMT+3

Industries

Business & Productivity, Logistics & Transportation, E-Commerce & Retail, Human Resources & Career, Advertising & Marketing, Statistics & Atalytics, Fashion & Style, Kids & Childcare, Healthcare & Medicine

Data Science, Machine Learning, Deep Learning, Predictive Analytics, Natural Language Processing, Computer Vision

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