Mostly Quantitative Analysis. Also involved in Backtesting proprietary strategies in Australian, Japanese, and Indian exchanges.

▪ Developed a Dynamic PnL Calculator from the ground up, incorporating a built-in SIDs generator for real-time NIFTY trades, covering both inter-day and intra-day trading scenarios.▪ Collaborated on testing Linear Machine Learning models applied to historical NIFTY trade data for market movement prediction, utilizing sci-kit-learn.▪ Translated quantitative algorithms to Python, utilizing Numpy, for integration into the backtesting engine for trade signal generation.▪ Acquired knowledge in SMA-based trading strategies and contributed to a bonus project by creating a correlation counter. Gained insights into portfolio diversification principles through statistics, utilizing Matplotlib and Pandas.