Explore and learn about a wide range of data sets that are used to develop signals for systematic quantitative strategiesDevelop a framework to automatically download and monitor hundreds of data sources that are vital to our trading and researchCreate data visualizations to gain insight on large data sets, such as order-by-order tick data, present findings and resultsResearch and implement machine learning techniques to identify patterns in large data sets and create new derived variables

Developing market-neutral, medium-frequency Alphas that predict future stock returns via investigating and implementing ideas inspired from various financial literature sources such as academic research articles using fundamental, technical, sentiment, and alternative data to create strategies for US, European, and Japanese Equity markets.

Taught over 1300 students via Microsoft Teams online platform and enhanced my interpersonal & communication skills• Rendered an intuitive and entertaining learning experience to students (class 6 to 12) in mathematics, physics, biology, and chemistry

Developed an Image Caption Generation application with the Inject and Merge Architectures for the Encoder-Decoder Model Obtained context-rich, well-founded captions for the images in test dataset via intensive hyperparameter tuning Designed a Phylogenetic tree parser and docx parser that renders a structured and well-organized output of desired format Assessed and improvised the performance of two OCR based APIs that renders an organized description of an input image