Software Development Engineer with 2+ years of experience in Java and Python, specializing in scalable microservices and data-intensive systems. Experienced in distributed caching, SQL/NoSQL optimization, and ML-driven fintech solutions.
Innovative solutions powered by machine learning and data science
An inventive pricing algorithm that fractionalizes bond ownership by assigning fair price to each fraction considering time-to-maturity, yield and credit risk. Built for SEBI Hackathon, aimed to increase liquidity in the bond market through innovative pricing strategies.
An interactive tool that can be used to create and manage personalized investment portfolios based on user-defined risk preferences and financial goals.
Explores dynamic trading strategies and rebalancing techniques and compares them against traditional buy-and-hold strategies with backtesting to find optimal strategy based on user resources and requirements.
Automated classification and data extraction from government documents using computer vision and NLP techniques.
Contributing to optimization and decision-making in data-driven systems
The premise of this research is to create a team recommender system that optimizes one's team selection strategy for the FPL. This research works by introducing objectivity and eliminating biases in the team selection process.
Published in: 2023 IEEE Pune Section International Conference (PuneCon)
Reach out for exciting collaborations, ML research, or professional opportunities.
Himanshu Kakwani
Mumbai, India