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Georgii V.
Last update: 26 Sep 2019
SENIOR
Data Science engineer, PhD
The data scientist with back-end development skills.
Has a strong general computer science background, as well as plenty of experience with Python, SQL storages and other server side-related technologies; has worked on Machine Learning, Computer Vision tasks, using scikit-learn, matplotlib, scipy, pandas and other.
All rates are indicative, annual rate includes 20% discount
20% discount on yearly basis
GMT+2 East Europe
Kharkiv, Ukraine

Works

EXPERIENCE

Industry Experience

Banking & Finance, Accounting & Auditing, Electronics & Equipment, Data Science & Machine Learning, Big Data

Product Experience

AI- and NLP-driven language learning solution, A complex Data Science project, IoT Application

PORTFOLIO HIGHLIGHTS

May `19 – Jul `19

2 months

PDF invoice parcer

Data Science Engineer

- Research; - Model building; - Development.

The solution is a web-service which takes attached PDF, process it and gives back results of parsing. The main feature was to develop an engine that could work with different types of invoices, automatically detect fields of interest and read desired information. Our invoice parsing rules allow a user to get information from PDF document in a couple of minutes. Our extraction algorithms are using a mixture of pattern and keyword based recognition and provide 100% recognition.

Technologies Stack:

OpenCV Python Tesseract scikit-learn

Industry:

Banking & Finance, Accounting & Auditing

Product:

AI- and NLP-driven language learning solution

Oct `18 – Mar `19

5 months

Data center cooling system

Data science engineer

- Research; - Model building; - Development.

A Dutch operator of data centers

The solution relies on the concept of proactive control instead of the reactive one. Used IoT and machine learning to implement it. The IoT system is collecting data from the sensors and the dynamic power consumption from the power supply device. A pre-trained ML model predicts temperature changes based on sensor data and defines the optimal rack fan speed. The solution also gives operators an interactive dashboard with all sensor data and an automatic/manual control mode.

Technologies Stack:

AWS Eclipse Python Raspberry Pi Tornado

Industry:

Electronics & Equipment, Data Science & Machine Learning, Big Data

Product:

A complex Data Science project, IoT Application

Works:

EDUCATION

KhNU Karazin

PhD, Physics

Data science and Blockchain agency #576

10-50
Kharkiv, Ukraine
GMT+2

Industries

Banking & Finance, Advertising & Marketing, Statistics & Atalytics, Blockchain & Cryptocurrency, Data Science & Machine Learning, Big Data

Quantum develops solutions with complicated architecture from scratch. Quantum serves world leaders like Rubicon Project, Nutanix, UCB, etc.

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