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VesnalaData Scientist & Machine Learning Engineer
Feb. 2022 - Jan. 2024Bratislava, SlovakiaVesnala is a retail and online drugstore company specializing in providing a wide range of
pharmaceutical products and healthcare solutions. 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢Data Science Opportunity Identification: Improved demand forecasting, sales performance, and
inventory management by identifying data science opportunities across teams, driving significant
business growth.
🟢Data Quality & Feature Engineering: Increased model accuracy and efficiency through extensive
data cleaning and feature engineering, streamlining workflows.
🟢Dashboard Development: Developed interactive, real-time dashboards that empowered
marketing, sales, and supply chain teams, enhancing data-driven decisions.
🟢ML Model Deployment: Built and deployed models to optimize pricing,
recommend products, and forecast sales trends, boosting operational efficiency.
StrategyQuant.comStrategyQuant Specialist | Developer & | Consultant
Aug. 2019BratislavaStrategyQuant is a provider of algorithmic trading software that enables traders to generate, test,
and optimize trading strategies using data mining and machine learning. 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢Program Extensions Development: Enhanced platform functionality by creating program
extensions in Java, MQL4, MQL5, and TradeStation’s Easy Language, providing customized solutions
to improved user experience.
🟢Client Collaboration: Collaborated closely with clients, advising on implementing machine
learning algorithms and trading models. Helped clients improve trading outcomes, strengthening
relationships.
🟢 Feature Development & Debugging: Worked with the development team to design, test, and
deploy new features. Ensured high performance and zero critical bugs.
🟢 Custom ML Solutions: Delivered custom machine learning models for trading strategy
optimization, providing clients with efficient and automated trading solutions.
algotrading.spaceOwner
Nov. 2012BratislavaAlgoTrading.Space delivers tailored data mining and algorithmic trading solutions, utilizing advanced
machine learning to develop strategies that enhance returns and reduce risk. 🟢Data Pipeline Development: Built end-to-end data pipelines to assess trading strategies,
enhancing decision-making and profitability.
🟢Automated Decision-Making: Designed workflows to automate the selection of profitable trading
strategies, establishing efficient, data-driven processes.
🟢Model Accuracy & Adaptability: Applied drift detection and scikit-learn to improve model
performance and adapt to market changes.
Colosseum, a.s.Head Trader
Apr. 2007 - Dec. 2011BratislavaColosseum, a.s. is a proprietary trading firm specializing in global futures, options, and ETF markets, providing trading services across multiple international exchanges. 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
🟢 Self-Trading Operations: Led the firm's proprietary trading desk, executing high-volume futures, options, and ETF trades across major exchanges, including TOCOM, CME/CBOT, MCX, ICE, NYSE LIFFE, and EUREX.
🟢 Client Portfolio Management: Managed client accounts by creating, executing, and analyzing trades on their behalf, ensuring optimal risk management and strategic market positioning.
🟢 Global Market Execution: Conducted trades across multiple time zones and exchanges, leveraging quantitative analytics to identify opportunities in diverse market conditions.
🟢 Quantitative Strategy Development: Applied advanced quantitative models and technical analysis for strategy optimization and continuous portfolio improvement.
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