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Nazar I.
Last update: 16 Jan 2018
JUNIOR
Data Scientist specialized in Computer Vision and Machine Learning
An accomplished Data Scientist with thorough knowledge of machine learning, computer vision, and data mining. He also has a solid background in Python programming. Being particularly interested in Convolutional Neural Networks, and other approaches based on neural networks, he tends to broaden his knowledge and skills on a daily basis.
He has a results-driven, logical and methodical approach to achieving tasks and objectives which allows him to effectively perform his duties and responsibilities. He is a good communicator with excellent interpersonal skills.
All rates are indicative, annual rate includes 20% discount
20% discount on yearly basis
GMT+3 Middle East
Lviv/Ukraine

TECH STACK

Programming Languages:

Python

Operating Systems:

Linux Windows

Libraries/Frameworks/Tools:

OpenCV Python Numpy Python SciPy

EXPERIENCE

Industry Experience

Advertising & Marketing, Business & Productivity, E-Commerce & Retail, Fashion & Style, News & Media

Product Experience

Analytics, Recognition model, Body metrics, Auto-tagging application, Camera application

PORTFOLIO HIGHLIGHTS

Feb `17 – Present

1 year

Prediction model

Data Scientist

Startup company

The main task of this project was to develop life-time prediction model at a user level based on historical data of interactions. So the customer can find out what revenue certain user will make in x time

Technologies Stack:

Python

Industry:

Advertising & Marketing

Product:

Analytics

Jan `17 – Jan `17

Forecasting model

Data Scientist

Agricultural holding

The task was to carry out yield forecasting and key factors analysis based on historical data. In the course of the project, I used the following techniques and approaches: ETL, descriptive analysis, contradictory samples extraction and analysis, yield dynamics (growth rate) calculation for available periods, and growth rate extrapolation to forecast yield value.

Technologies Stack:

OpenCV Python OCR Tesseract Python Numpy

Industry:

Business & Productivity

Product:

Analytics

Nov `16 – Dec `16

1 month

Visual recognition of sneakers models

Data Scientist

Startup company

The Customer supplied a repository with the code to create a labelled dataset. Our task was to inspect the code and data, implement required data transformation pipeline for sneakers detection and model recognition, and change the underlying deep learning model from Inception-v1 to Inception-v3. Another project dealt with extracting a clickable screen shape of Windows OS situated near the click event.

Technologies Stack:

OpenCV Python

Industry:

E-Commerce & Retail

Product:

Recognition model

Sep `16 – Oct `16

1 month

Body shape extraction tool

Data Scientist

SF-based startup company

The aim of this project was to provide a human body shape extraction from the front and side view photos of a person. In the course of the project, the approaches of face detection, skin regions estimation, and GrabCut segmentation algorithm were used.

Technologies Stack:

OpenCV Python Python Numpy

Industry:

Fashion & Style

Product:

Body metrics

May `16 – Aug `16

3 months

A core for photo auto-tagging application

Data Scientist

Startup company

The system had to describe input image by several tags which represented objects on it. The main goal of this project was to develop a model based on convolution neural networks, implement an application for image or video grouping/searching and deploy it as standalone software.

Technologies Stack:

OpenCV Python Python Numpy

Industry:

News & Media

Product:

Auto-tagging application

Mar `16 – Apr `16

1 month

An application which modified video stream in real-time for creating illusion with a reflective prism and a digital screen

Data Scientist

Startup company

The app made a query via Twitter REST API and received a stream of recent Tweets. Then it processed collected data and viewed some basic statistics. Some simple user authentication, file encryption, and all the other routines are implemented using mainly built-in python modules.

Technologies Stack:

OpenCV Python JSON OAuth Python Numpy

Industry:

News & Media

Product:

Camera application

EDUCATION

Lviv Academy of Commerce

Bachelor’s degree – Computer Science and Economics, faculty of Computer Science and Economics, 2006

Brown University, Coursera

Completed course - Coding the Matrix: Linear Algebra through Computer Science Applications. Grade Achieved: 90.5%"

Stanford University, Coursera

Completed course - Machine Learning. Grade Achieved: 96.1%"

Udacity (courses)

Completed course - Deep Learning

Lviv IT School

Python course. Machine Learning course

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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