Jul 2024 – May 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

Mar 2024 – May 2024 · 2 mos · Nashville, Tennessee, United States · Remote

Feb 2024 – Jul 2024 · 5 mos · Mumbai, Maharashtra, India · Remote

Jan 2024 – Mar 2024 · 2 mos · Stamford, Connecticut, United States · Remote

Jan 2024 – Mar 2024 · 2 mos · Bengaluru, Karnataka, India · Remote

• Researching and using Data Science to uncover hidden patterns in Price data to gather insights for making strategies
• Developing strategies using uncovered insights and executing automated trades based on gathered criterias.

Nov 2023 – Dec 2023 · 1 mo · Switzerland · Remote

• Testing and developing innovative trading strategies for Cryptocurrency scalping
• Utilizing advanced mathematical and statistical techniques to generate trade signals, driving the creation of profitable and high win rate scalping strategies.
• Backtesting of models and strategies to ensure robustness and reliability over live price data

Aug 2023 – Jan 2024 · 5 mos

• Developing and implementing innovative trading strategies using Fast Expressions languages and Alphas.
• Utilizing advanced quantitative techniques to generate Alpha signals, driving the creation of profitable investment strategies.
• Conducting backtesting of models and strategies to ensure robustness and reliability.

May 2023 – Jul 2023 · 2 mos · Navi Mumbai, Maharashtra, India · On-site

• Developed an Energy Distribution Algorithm which acted as a test for implementation in the Solar Park development of RIL.
• Optimized the algorithm to supply energy 24/7 by using novel techniques to minimize battery degradation rate.
• Fine-tuned the algorithms according to seasons in the Solar Park site while considering critical external features like humidity & temperature which after incorporating produced 9% more energy .

Jan 2023 – May 2023 · 4 mos · Remote

• Analyzed blockchain data from the lightning network to identify patterns and insights relevant to reducing fees based on geo and IP based distance measures.
• Conducted graph network analysis of lightning network nodes to extract meaningful features for fee optimization, for larger multi-part payments, by integrating the probabilistic cost function into min cost flow solvers.
• Developed newly engineered features within the cost function to lower latency and maximize transaction success probability by 2 folds while limiting fees.
• Achieved a significant reduction in fees, specifically a 14 percent decrease, through feature engineering and optimization of the cost function.

Oct 2022 – Nov 2023 · 1 yr 1 mo

• Developed a dynamic automated price optimization algorithm to forecast next-day prices in real-time which responded to market events and competitor's prices on a daily basis.
• Designed and trained algorithm for data from 55 markets to achieve a price prediction accuracy of over 92% and subsequently transform the price according to the competitors in the market to win an edge.
• Maximized the total firm profits by analyzing the market conditions and including novel techniques like teaming up with competitors.

Sep 2021 – Dec 2022 · 1 yr 3 mos

Mar 2021 – May 2021 · 2 mos

• Utilized Strategic algorithmic and programming tools to build NLP predictive models.
• Created reports and statistical analysis as required by the company to find insights from the text reviews they recieved for a go-to market strategy