Palash Malu is a Computer Science student at BITS Pilani with experience in quantitative research and data science. He has worked as a Quant Research Consultant at World Quant Brain and a Data Science Intern at Pixis.ai, specializing in predictive modeling and trading strategies. Palash is proficient in Python, C++, and various machine learning frameworks.
Experience
Data Science Intern
Pixis.ai
Spearheaded the development of advanced predictive models to identify related digital marketing keywords using state-of-the-art embedding models and deep learning techniques, including BERT, FastText, and mini-LLM. Engineered innovative methodologies to rigorously test the accuracy and effectiveness of keyword prediction algorithms, including the creation of a proprietary scoring system for each prediction.
Quant Research Consultant
World Quant Brain
Used Python, Quantitative Analysis, Statistics, and Financial Models like Monte Carlo etc., to devise and implement trading strategies through alphas using the World Quant Brain platform. Utilized historical data for backtesting and evaluating alpha performance over various market cycles in Python on USA, China, etc. Optimized alpha strategies for enhanced investment performance with an average Sharpe ratio of 1.59.
Education
BITS Pilani, Hyderabad Campus
Bachelor of Science
Computer Science
Relevant Coursework: Operating System, Computer Networks, Object Oriented Programming, Data Structures and Algorithms, Computer Architecture, Database Management System (DBMS), BlockChain, Machine Learning, Derivatives and Risk Management, Fundamentals of Finance and Accounting