• Financial Modeling & Valuation Techniques: Discounted Cash Flow (DCF), Leveraged Buyout (LBO), Comparable Company Analysis (CCA), Precedent Transaction Analysis (PTA), and Football Field Analysis.
• Valuation Methods: Capital Asset Pricing Model (CAPM), Weighted Average Cost of Capital (WACC), Gordon Growth Model, Dividend Discount Model (DDM), and Multiples-Based Valuation.
• Corporate Finance: Capital budgeting, cost of capital analysis, financial leverage, capital structure optimization, and mergers and acquisitions (M&A) analysis.
• Accounting & Financial Analysis: Analyzing income statements, balance sheets, and cash flow statements. Conducting ratio analysis and financial statement normalization.
• Investment Analysis & Market Knowledge: Performing equity research and real estate financial modeling. Tracking market indicators such as indices, exchange rates, and commodities.
• Blockchain Accounting: Understanding blockchain applications in-depth for accounting and transaction records.

I also learn programming and have a decently strong background in software development, data science, and machine learning, having won 3 Hackathons, including one for my project SynapsEd. My skills include:

• Programming Languages: Python, R, Java, JavaScript, and TypeScript.
• Frameworks & Libraries: React, React Native, Node.js, TensorFlow, PyTorch, scikit-learn, and Flask.
• Data Science & Machine Learning: Proficient in data analysis and model building using R, pandas, NumPy, Matplotlib, seaborn, and Plotly.
• AI: Experience in building AI powered applications & RAG systems.
• Tools & DevOps: Skilled in using Git, GitHub, Postman, and Jupyter Notebooks.
• Achievements: Winner of 3 Hackathons, including the creation of SynapsEd, an AI-powered personalized learning platform.

I have experience in Data Science & Data Analysis mostly in research capacity and from course knowledge. These are the specific skills that I have currently picked up:

• Programming & Tools: Proficient in R and Python for data science and visualization.
• Statistical Analysis: Experienced in econometric modeling and hypothesis testing.
• Data Visualization: Skilled in creating compelling visualizations to communicate insights effectively.
• Forecasting & Predictions: Adept at building predictive models and time series forecasts.
• Time Series Analysis: Experienced in analyzing and interpreting time-dependent data for trend identification and forecasting.

I have experience in business strategy, enterprise architecture, and market analysis, with a strong background in accounting fundamentals and research. My skills include:

• Enterprise Architecture: Developed Enterprise Architecture for a finance instituiton using the TOGAF framework for aligning business processes with IT strategies.
• Market & Competitor Analysis: Conducted SWOT analyses, market research, and feasibility studies for business growth.
• Accounting & Financial Fundamentals: Applied accounting principles, including budgeting, financial reporting, and cost analysis.
• Strategic Planning: Developed business roadmaps, identified market opportunities, and created actionable strategies for business growth.