Worked as Quant at Credit Suisse and Morgan Stanley.
Completed CQF, FRM, CFA, MFE.
Graduated from India's top Engineering Institute IIT Bombay with a Dual degree in Electrical Engineering.

Machine Learning- Logistic Regression, PCA, SVM, Classification, Supervised and Unsupervised Learning

AI- Fine-tuning the models, build real-life applications

Statistics- Descriptive and inferential statistics, Hypothesis Testing, Linear Regression, Confidence Interval, Statistical Tests, ANOVA table Analysis, MLE calculation, R Programming.

Linear Algebra- Null Space, Column Space, Row Space, Transformation, Rank Analysis, Determinant, Inverse Calculation, Different Decomposition, Advanced Linear Algebra.

Applied Mathematics- Calculus, Multivariate Calculus, Quant

Quantitative Finance- I teach CFA, FRM, Quant Math, VaR, Exposure, Market Risk, and Credit Risk.

Programming- R (advanced), Python( for Quant), MATLAB (Signal Processing),C++