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Andrey N.
Last update: 10 Mar 2019
SENIOR /team lead
Machine Learning Engineer with Data Science skills
5+ years experience
Doing research, development and engineering. Good domain of theoretical aspects combined with practical knowledge and constraints of the applied fields allowed the generation of many original and efficient solutions. In robotics, proficient at hardware design, simulations, perception, control at different levels, programming and applications. Mastering development of control solutions from fundamentals using advanced techniques including learning and adaptive, multilevel and optimal control.
All rates are indicative, annual rate includes 20% discount
20% discount on yearly basis
Usually responds within 1 hour
GMT+2 East Europe
Kyiv Ukraine, New York US

Works

EXPERIENCE

Industry Experience

Business & Productivity, Internet & Telecom, Data Science & Machine Learning, Big Data, Healthcare & Medicine, Banking & Finance, Blockchain & Cryptocurrency

Product Experience

AI- and NLP-driven language learning solution, Speech-to-text engine and handwritten chars generation, A complex Data Science project, Trading System

PORTFOLIO HIGHLIGHTS

Jan `18 – Nov `18

10 months

Zpoken Speech Recognition API

Sr. Natural Language Engineer

• Prepared the model data and built machine learning algorithms using Python Pandas, scikit learn, numPy, keras etc. libraries using Anaconda Jupyter & Programming Linear, Logistic Regressions, KNN,K-Means Clustering, Sentiment/Text Analytics, NLP, Natve Bayes, Time Series forecasting using lm, glm, Arima, Apriori, Forecast. • Working on Information extraction from different kinds of text documents using NLP, text mining and regular expressions.

Zpoken product

Zpoken STT (speech-to-text) engine – is a leading speech recognition software used for audio transcription, analytics, and voice-enabled applications. STT includes 5 different languages (English, Russian, Ukrainian, German and Chinese) that were developed from scratch and have accuracy more than 97%.

Technologies Stack:

C++ MongoDB PostgreSQL Python Data Modeling Docker TensorFlow Caffe scikit-learn

Industry:

Business & Productivity, Internet & Telecom, Data Science & Machine Learning, Big Data

Product:

AI- and NLP-driven language learning solution, Speech-to-text engine and handwritten chars generation

Works:

Sep `17 – Dec `17

3 months

Healthcare analytics

Sr. Data Scientist

• Implementing end-to-end systems for Data Analytics, Data Automation and integrated with custom visualization tools using R, Hadoop and MongoDB, Cassandra. • Performing machine learning algorithms in R and used Spark for test data analytics using MLLib and Analyzed the performance to identify bottlenecks. • Working with Machine Learning Algorithms such as Decision Trees, Random Forest, Gradient Boosting, Support Vector Machines, K Mean Clustering, Naive Bayes

Healthcare company

Analytics of the Healthcare databases

Technologies Stack:

Python R Spark JSON R-Hadoop MLlib scikit-learn

Industry:

Healthcare & Medicine

Product:

A complex Data Science project

Mar `17 – Aug `17

5 months

AI Trading Bot

Machine Learning Engineer

• Developing Predictive models, Machine learning (Supervised and non-Supervised) using R for Machine Motor. • Creating analytical models using analytics algorithms like regression, decision trees, clustering, text mining etc. and leveraging tools like R, Tableau etc. to deliver actionable insights and recommendations.

Trading bot uses a multitude of indicators and points of analysis to give users predictive buy/sell signals based on an amalgamation of historical and live data to fully analyze and predict the cryptocurrency market. It is capable of understanding the difference between a bull and bear market, how to adjust the meaning behind indicators based on the market state, understands the theory behind technical analysis, such as when RSI is reversed.

Technologies Stack:

PostgreSQL Python R RabbitMQ Docker TensorFlow Caffe

Industry:

Banking & Finance, Blockchain & Cryptocurrency

Product:

Trading System

EDUCATION

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Master’s degree in Applied System Analysis

Nvidia Developer Program

Machine Learning Developer

Nvidia Deep Learning Institute

Machine Learning Developer

AI and Data science agency #538

50-100
Kyiv Ukraine, New York US
GMT+2

Industries

Business & Productivity, Banking & Finance, Advertising & Marketing, Blockchain & Cryptocurrency, Big Data, Automotive

Zpoken strong AI development team with deep expertise in Machine Learning, Deep Learning and Data science. Whether you are looking for individual step (consulting, technology selection and technical design, development, integration, maintenance) or full-cycle solution, we deliver both.

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