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Registration: 25.11.2024

Artem Voytenko

Specialization: ML Engineer
— With over five years of experience in IT and Data Science, I see opportunities to bring my skills to the financial sector by applying advanced methods for time series analysis and trading system development. — Currently, I am studying reinforcement learning, as I am convinced this area will drive the next major breakthrough in AI.
— With over five years of experience in IT and Data Science, I see opportunities to bring my skills to the financial sector by applying advanced methods for time series analysis and trading system development. — Currently, I am studying reinforcement learning, as I am convinced this area will drive the next major breakthrough in AI.

Skills

Python
PostgreSQL
Pandas
NumPy
TensorFlow
Keras
Docker
Flask
RabbitMQ
Git
Reinforcement Learning

Work experience

Data Scientist
since 12.2023 - Till the present day |Digital Technologies and Platforms
Python, Pandas, NumPy, TensorFlow, Keras, PostgreSQL, Docker, Flask, RabbitMQ, Git
EuroChem - Decision Support Systems, Time Series Classification. ● Developed a decision support system based on regression ML models (digital advisor) that enhanced production output and stabilized urea quality. The solution is registered with Rospatent, and I am listed as a co-author. ● Built an online classification model for the operational states of a potash mining combine-wagon complex, improving the accuracy of cycle identification and replacing manual counting with a fully automated ML-solution. The project has progressed through PoC-MVP-Beta stages.
Data Scientist
12.2020 - 05.2023 |MC MT
Python, Pandas, NumPy, TensorFlow, Keras, PostgreSQL, Docker, Flask, RabbitMQ, Git
Clustering, Time Series Classification. ● Created a clustering model for time series data to analyze stock exchange trades using dimensionality reduction techniques like PCA, SVD, MDS, and t-SNE. ● Visualized clustered trades with stock charts, enabling analysts to conduct in-depth trade analysis, identify inefficiencies, and gain insights to improve trading algorithms. ● Developed and implemented price forecasting algorithms based on financial time series analysis. ● Collected, processed, and optimized historical trade data, focusing on storage efficiency and quick access. ● Transformed raw data into multivariate time/trade/range-frame DataFrames for detailed analysis. ● Conducted statistical tests to check data stationarity, followed by appropriate transformations. ● Performed EDA and feature engineering, identifying key data features and creating informative attributes. ● Developed, trained, and optimized machine learning models, including regression and classification. Employed ensemble methods like bagging and boosting, and applied DL models with LSTM. ● Stratified samples, balanced classes, and optimized probability thresholds to improve binary classification model performance.
Python Developer
2019 - 2020 |MC MT
Python, Git
Telegram Bot. ● Designed, developed, and deployed a Telegram bot for reactive control of specialized software and centralized remote server management. ● Implemented log file parsing for specialized trading software to provide an independent control channel. ● Organized critical notifications and ensured prompt access to requested data via the bot. ● Continuously monitored server and specialized software status. ● Enabled screenshots of the current server state upon bot request.
Java Frontend Developer
2018 - 2019 |SPT
Java, Git
Messenger Client. ● Developed and implemented new features for the client side of the PostLink messenger, focusing on improving user experience and interface. ● Worked closely with backend developers to integrate new features and ensure cohesive application performance.

Educational background

Engineer. (Masters Degree)
2001 - 2005
Bryansk State Technical University

Languages

RussianNativeEnglishUpper Intermediate