- Improved, backtested, and simulated specific strategies for Bitcoin trading- Generated relevant insights and established a set of trading rules based on a specific strategy for Nasdaq stocks- Conducted wallet analysis in order to find wallet addresses with positive records of PnL- Working for international clients from various countries

- Built a backtesting and data updating mechanism for evaluation and analytical purposes- Created a market-monitoring mechanism to assist day-to-day trading activity - Developed new metrics to evaluate trading performance- Established crypto price predictor models using historical datasets- Established a set of rules to select coins out of more than 300 coins available on the market exchange to trade

- Initiated transaction level model analysis- Created and deployed into production a new set of rules for scoring model selection mechanism- Initiated prior analysis to unify several scoring models into one model- Established rules to select people that qualified for limit increase and took responsibility in monitoring qualified people- Frequently modified rules in order to increase approval rate while keeping low risk rate

- Successfully built and deployed into production credit scoring models for cash loan products in order to keep low risk rate while also merging separate models into one- Regularly updated rules that are used to approve customers' applications on cash loan products- Created alerts for monitoring purposes- Introduced new metrics for decision making and monitoring purposes

- Worked as a team to help clients from bachelor to master students to solve problems or to help clients overcoming misconception regarding relevant statistical approach

- Frequently delivered tutor for juniors in probability theory and mathematical statistics- Delivered an Introduction to Machine Learning/Data Science Workshop to juniors