Indian Institute of Technology, Bombay

• Differential Equations (MA 108)

• Linear Algebra (MA 106)

• Multivariable Calculus (MA 109, MA 111)

• Programming for Data Science (DS 203)

• Economics (HS 101)

• Introduction to Numerical Analysis (MA 214)

• Introduction to Machine Learning (DS 303)

• Optimization Models (IE 501)

• Decision Analysis and Game Theory (IE 616)

• Probability and Random Processes (EE 325)

• Introduction to Financial Engineering (IE 612) - 2023-24/Spring

• Financial Economics (EC 631) - 2023-24/Spring

• Regression Analysis (SI 422) - 2023-24/Spring

University of Toronto

• • Financial Engineering II -   Part 1: Advanced Portfolio Optimization 

    Part 2: Derivative Securities and Pricing 

The Fields Institute for Research in Mathematical Sciences, Toronto

• CFI Workshop on Quantitative Methods for Wealth Management

ADDITIONAL LEARNING CERTIFICATES

Capital Markets, Derivates, Trading Strategies and Technical Analysis | NSE Academy (Apr '23)

Quantitative Trading Winter School | IIT Delhi and Optiver (Jan '23)

Options Trading Strategies in Python: Basic | NSE Academy (Nov '22) 

Stock Market Basics | Quantinsti (Nov '22)

Python for Trading: Basic | Quantinsti (Oct '22)

Unsupervised Learning, Recommenders, Reinforcement Learning | DeepLearning.AI, Stanford University (Oct '22)

Advanced Learning Algorithms | DeepLearning.AI, Stanford University (Sep '22)

Supervised Machine Learning: Regression and Classification | DeepLearning.AI, Stanford University (Aug '22)

Crash Course on Python | Google   (Jun '22)