Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 6


AMLBot	Kyiv, Ukraine
•	Analyzing transactions of crypto projects on the Binance Smart Chain to create network graphs and deanonymize all participants.
•	Simulating transactions on DEXes for stabilizing stablecoin.
•	Simulating trading bot operations to increase the reserve of algorithmic stablecoin.
•	Creating an instrument to analyze transactions on EVM-compatible blockchains using Streamlit/Flask
•	Creating a model to classify text inside of pdf files using BER

MHP SE Kyiv, Ukraine
• Development and implementation of an automated scaping algorithm to extract commodity prices from multiple
websites.
• Determining the success factors of outlets and building scoring models for outlets using logistic regression.
• Determination of the optimal product matrix of goods within the outlet applying association rules.
• Microclimate optimization in poultry farming and development of web-application in streamlit.
• Applying natural language processing model to classify product names
• Visualization of microclimate parameters for all cultivation farms using Power BI.

Crypto Briefing:
I worked in a team of two analysts who were engaged in an in-depth study of blockchain projects to rate them from an investment point of view. I wrote detailed articles on crypto companies and then the company published them on the official website. In addition, I made a valuation model of the Binance Coin coin based on its use cases to estimate its future value within the next 3-5 years.

Attic Lab: I worked in a team of two analysts who were looking for attractive ICOs from an investment point of view. The ICOs selection was carried out according to a specific methodology. If the blockchain project met certain requirements, then we could make a decision on the feasibility of investing in such blockchain projects.

Additional duties:
- assessment of blockchain projects to list them on the crypto exchange.
- performed tasks on market analysis and visualization of relationships between certain factors in the crypto industry using Tableau.
- market analysis of cryptocurrencies based on the PoS consensus algorithm to assess their profitability.

KPMG: I worked in a risk management team, which consisted of 7 people. The main project I worked on was building the default rate models of bank portfolios. I used the R Studio program and applied a linear regression to solve the time-series problem.