Global Alpha Researcher
Highlights
Developed efficient algorithms and automated data pipelines for streamlined data handling and processing.
Designed and Analyzed scalable machine learning models in Python improving accuracy by 8%, optimizing for performance and maintainability
Leveraged fundamental, technical, and sentiment analysis to develop trading strategies for Futures and US markets.
Research Consultant
Highlights
Designed and enhanced alpha strategies using diverse financial datasets to identify market inefficiencies.
Worked on 20+ market-neutral strategies for the USA and China regions, implementing advanced statistical methods and data-driven techniques.
Integrated Master of Technology
Mathematics and Computing
Grade: 9.46/10
Courses
Data Structures and Algorithms (C++)
Object Oriented Programming
Operating System
Database Management System
Software Engineering
Data Mining
Achieved gold level in the International Quant Championship 2023, outperforming 5000+ participants by implementing advanced statistical models and generating a 20% increase in portfolio returns.
Achieved a top 1% ranking (275 out of 25k+) in the Jane Street Market Data Forecasting competition on Kaggle.
Ranked in the top 4% of participants in the prestigious Flipkart grid challenge.
Secured a rank within the top 100 in the Amazon ML Challenge.
C++, C, Python, Numpy.
Django, TensorFlow, PyTorch, Pandas, Stata.
Operating System, GPU Computing, Encryption, Decryption, Artificial Intelligence, Machine Learning, Neural Networks, API, Database systems.
Summary
Designed and developed a scalable web-based application using the Django framework, integrating advanced facial recognition features with PyTorch. Implemented GANs to transform user faces into comic-style avatars, optimizing performance and enhancing user experience with seamless design and backend integration.
Summary
Leveraged advanced image classification techniques, including convolutional neural networks (CNNs) implemented with TensorFlow, to accurately identify 15+ plant diseases from images. Designed and built a user-friendly web interface using the Django framework improving the efficiency and accuracy of disease diagnosis compared to traditional methods.