Topics

Here is a list of topics I commonly tutor. Looking for a topic not on this list? Drop a line by email to ask!

Mathematics

• Calculus (all levels)
• Linear Algebra and Differential Equations
• Discrete Math, Graph Theory, and Combinatorics
• Abstract Algebra (Groups, Rings, Fields, Modules)
• Manifolds and Differential Geometry
• Category Theory and Representation Theory
• Point-Set Topology and Algebraic Topology

Computer Science

• Python Programming
• Data Structures and Algorithms
• Principles of Machine Learning and Statistical Learning

Statistics

• Business Statistics
• Statistical Inference, Hypothesis Testing, Confidence Intervals, Regression Analysis
• Probability Distributions, Markov Chains, Random Processes
• Bayesian Methods

Data Science

• Python Libraries: Numpy, Pandas, Matplotlib, Scipy, Scikit-learn, Pytorch, Tensorflow.
• Statistical Learning: Regression, Classification, Clustering, Decision Trees, Neural Networks
• Data Cleaning, Analysis, and Visualization in Jupyter Notebooks

Quantitative Finance

• Stochastic Processes (Random Walks, Brownian Motion)
• Option Pricing (Black-Scholes, Volatility Smiles)

Interview Prep

• Leetcode-Style Coding Problems
• Quant Interview Questions
• Brainteasers