Academic Background
Business Analytics Courses
- Database Management: Focused on relational database design, normalization, and SQL queries. Projects involved designing schemas and executing queries using MySQL and Oracle environments.
- Computational Thinking: Introduced fundamental programming concepts through Python. Developed skills using Jupyter Notebooks to solve real-world problems using logic, control structures, and data structures.
- Data Wrangling: Emphasized the process of transforming and cleaning data using Python libraries such as Pandas and NumPy. Projects included scraping, merging, and reshaping real datasets in Jupyter.
- Digital Product Management: Covered the product development lifecycle, agile methodology, and stakeholder collaboration. Coursework included mock sprint planning and backlog creation for tech-based products.
Finance Courses
- Investment Management: Analyzed financial markets and portfolio construction. Learned about asset valuation, diversification, risk-return tradeoffs, and performance measurement techniques.
- Corporate Finance: Studied capital budgeting, cost of capital, capital structure, and dividend policy. Projects included NPV/IRR calculations and case studies on capital investment decisions.
- Financial Accounting and Reporting: Covered foundational accounting principles and preparation of financial statements. Learned to interpret balance sheets, income statements, and cash flow statements.
Risk Management & Insurance Courses
- Principles of Risk Management and Insurance: Provided an overview of risk identification, evaluation, and treatment methods. Topics included insurance markets, policy structures, underwriting, and claims.