🎓 Masters Student at Harvard University | Graduating in December 2025
- Majoring in Data Science - Department Computer Science and Statistics
🤝 Researcher at MIT
- Focusing on applying machine-learning techniques to quantitative finance, investor behaviour, systemic risk, and adaptive markets.
💡 Research & Specialization
- Specialized in Machine Learning with several notable undergraduate publications.
- Engaged in multiple industry-oriented Quant Finance and ML projects and competitions.
📈 Professional Work Experiences
- Quant Researcher: Delivered alphas in quantitative research for Hedge Funds, AMCs.
- ML & Data Engineer: Applied machine learning & data engineering techniques to large complex datasets.
🧭 Navigation
🏛️ Harvard University
- Degree: Masters in Data Science – (Computer Science & Statistics)
- Location: Cambridge, MA
- Timeline: August 2024 - December 2025
- Anticipated Coursework:
- Stochastic Methods for Data Analysis, Inference, & Optimization
- Time Series Prediction
- Statistical Machine Learning
- Generalized Linear Models
- Sequential Decision Making
- Applied Linear Algebra and Big Data
- Bayesian Statistics
- Advanced Topics in Data Science
🏛️ Massachusetts Institute of Technology (MIT)
- Position: Researcher, Laboratory for Information & Decision Systems
- Location: Cambridge, MA
- Timeline: January 2025 - May 2025
- Advisor: Roy E Welsch
- Research Topic: Portfolio Optimization with Stochastic Return Functions: An Algorithmic Approach
🏛️ Birla Institute of Technology and Science (BITS) Pilani
- Degree: Bachelor of Engineering in Computer Science (Distinction)
- Location: Pilani, India
- Timeline: June 2019 - June 2023
- CGPA & Honors:
- 9.62/10 (Academic Excellence Awardee)
- Merit Scholarship (Top 1%)
- National Undergraduate Research Awardee (2021, 2022)
- BITS Mantra Research & Innovation Awardee (1/1000)
- Relevant Coursework:
- Data Structures and Algorithms
- Object Oriented Programming
- Theory of Computation
- Probability and Statistics
- Mathematics (I, II, III)
- Discrete Mathematics
- Data Mining
- Deep Learning
