**Coursework**

### Spring 2023 ^{@}

- MATH 5430 GR (Graduate Level) Machine Learning for Finance
- MATH 5260 GR (Graduate Level) Programming for Quant and Computational Finance
- MATH 5360 GR (Graduate Level) Math Methods for Financial Price Analysis
- STAT 4224 GU (Graduate Level) Bayesian Statistics
- STAT 4261 GU (Graduate Level) Statistical Methods in Finance
- STAT 4204 GU (Graduate Level) Statistical Inference

### Summer 2023 ^{#}

- CS188 Introduction to Artificial Intelligence (UCBerkeley Online)

### Fall 2022 ^{§}

- COSC-311 Algorithms
- MATH-294 Optimization
- MATH-355 Introduction to Analysis
- STAT-230 Intermediate Statistics
- ECON-361 Advanced Econometrics
- Placed out of MATH-360 Probability

### Summer 2022 ^{#}

- HBX CORe (Online - funded by Amherst College)
- CodePath Advanced Software Engineering (Online)

### Spring 2022 ^{§}

- COSC-373 Distributed Algorithms
- COSC-283 Computer Networks
- MATH-365 Stochastic Processes
- MATH-252 Mathematics of Public-key Cryptography
- ECON-220 Public Choice
- ENGL-110 Writing About Humor
- Placed out of MATH-271 Linear Algebra

### Fall 2021 ^{§}

- COSC-211 Data Structures
- STAT-231 Data Science
- ECON-111 Introduction to Economics
- FYSE-101 Philosophy of "Progress?"
- Placed out of MATH-211 Multivariable Calculus
- Placed out of COSC-111 Introduction to Computer Science I
- Placed out of COSC-112 Introduction to Computer Science II
- Placed out of STAT-135 Introduction to Statistics via Modelling

### Online Coursework ^{#}

- Google Data Analytics Professional Specialization through Coursera
- Google Project Management Professional Specialization through Coursera
- IBM Data Science Professional Specialization through Coursera
- IBM Applied AI Professional Specialization through Coursera
- Bloomberg Market Concepts (BMC) Certification
- INSEAD Blockchain Revolution Professional Specialization through Coursera