Coursework & Certifications

A curated overview of my academic coursework, professional certifications, and research spanning Computer Science and Data Science.

Relevant Courses

Data Structures and Algorithms

Core programming concepts and problem-solving techniques.

Operating Systems

Learned OS fundamentals and programming with threads, processes, and building a file system.

Deep Learning and AI Ethics

Worked with neural networks and CNNs while exploring core deep learning concepts and AI ethics.

Artificial Intelligence

Search algorithms, knowledge representation, and intelligent agents.

Mobile App Development

Developed Android apps using core mobile app development principles.

Database Management Systems

Designing relational databases, SQL queries, and normalization.

Cybersecurity

Principles of computer security, including encryption, authentication, and network security.

Computer Networks

Network protocols, architecture, and security.

Statistical Modeling

Regression analysis, hypothesis testing, and data visualization.

Statistical Computing

Python programming, data manipulation, and visualization techniques.

Bayesian Statistics

Bayesian inference, prior distributions, and Markov Chain Monte Carlo methods.

Linear Algebra

Vector spaces, linear transformations, and matrix theory.

Programming Languages: Principles and Practices

Syntax, semantics, and pragmatics of programming languages.

Computer Organization and Architecture

Data organization, memory hierarchy, and instruction set architecture.

Principles of Management

Fundamentals of management, organizational behavior, and strategic planning.

Principles of Marketing

Market research, consumer behavior, and marketing strategy.

Certifications

  • Stanford University's Code in Place Certificate
  • AT&T Technology Academy
  • Social-Behavioral-Educational Faculty and Staff Researchers - Human Subjects Research

Publications