Hi, I'm Javendean. God bless you!

Conducted a comprehensive assessment of the Solvency Capital Requirement (SCR) for AmTrust Financial Services, Inc.'s $3.28B invested asset portfolio, adhering to the Solvency II regulatory framework. Using Bloomberg terminal I extracted their Schedule D assets, as well as Excel for data-processing, R Studio for data-manipulation, and Moody's B&H Economic Scenario Generator for portfolio return simulations; to perform rigorous stress testing in order asses incremental risk for SCR vs VaR capital requirements for severe but plausible losses with a 99.5% confidence level for a 10,000 trial simulation with quarterly time-steps over a one-year horizon. You may view the full report by clicking on "View PDF", which includes an in-depth business and risk module analysis; or "View PPT", which includes condensed business analysis. Excel and R studio files for data analysis can be provided at request.

• Financial Analysis
• Risk Management
• Solvency II
• Quantitative Analysis
• Scenario Modeling
• Regulatory Assessment
• Data Visualization
• R
• Excel
• PPT
• Moody's B&H Economic Scenario Generator
• Bloomberg Terminal

Developed a comprehensive 3-statement model to perform a detailed valuation of Walmart. This involved constructing integrated projections for the income statement, balance sheet, and cash flow statement, underpinned by specific analyses of the company's debt and capital structure. The core of the valuation was a Discounted Cash Flow (DCF) model, for which I determined appropriate assumptions, calculated the Weighted Average Cost of Capital (WACC) and terminal value, performing sensitivity analyses managed through a dedicated control sheet. Finally, the key findings and valuation range were consolidated into a summary and presented using a "football field" chart to provide a clear overview of the company's estimated intrinsic value. You can view analysis details and assumptions in the excel file if you'd like by clicking "View Excel".

• Company Valuation
• Financial Modeling
• Advanced Excel
• 3-Statement Modeling
• Debt and Capital Structure
• DCF Analysis
• Comparable Company Analysis
• Equity Research
• Financial Projection

Conducted a time series analysis of Google's stock returns, developing and evaluating GARCH models to understand and forecast volatility. The project starts by importing raw Google price data, cleans and reshapes it into monthly returns, then explores the behaviour of both returns and price levels through intuitive charts. Then, a forecasting model for average returns (ARIMA) and a separate model for changing volatility (GARCH) were built, and each model’s assumptions were checked using industry-standard statistical tests. After processing, cleaning, and analyzing the data as well as developing and evaluating the models, I explain the maths behind the models, packaging the analysis in a polished, click-through HTML report—a workflow that mirrors the full data-to-insight pipeline you’d expect on a trading or risk-management desk. Below are some key charts to summarize my findings. You can view the full report if you'd like by clicking View Full Analysis below.

• Time Series Analysis
• Volatility Modeling (GARCH)
• Econometric Modeling
• Financial Data Analysis
• R Programming
• R Markdown
• Statistical Diagnostics (ACF)
• Risk Assessment

Collaboratively developed machine learning models (Linear Regression, Regression Tree, Random Forest) in R to predict housing sale prices in Queens, NY. First, we imported, cleaned, and prepared the data to correct inconsistencies, handle missing values, and create useful categories. Then, exploratory analysis was done with charts and summary statistics to identify key factors influencing property prices. Lastly, we developed, trained, and compared models to forecast housing prices. (achieving up to 85% R²) You can view the details of this project if you'd like by clicking "View Full Report".

• Machine Learning
• R Programming
• Regression Analysis
• Data Preprocessing
• Feature Engineering
• Predictive Modeling
• Data Visualization (ggplot2)
• Team Collaboration

Research dedicated to understanding and highlighting the critical need for missionary work across various unreached people groups and regions globally that I did for the Senior Pastor of my home church: La Cosecha (The Harvest) Community Church. This ongoing project involves research into demographics, spiritual landscapes, and the challenges faced in bringing the Gospel to these communities. The aim is to foster awareness and prayerful support for expanding our global missions ministry: Barnabas World Outreach Training (BWOT). Feel free to click "View Full Report" to see the details for each country.

• Global Missions
• Unreached People Groups
• Evangelism
• Missionary Research
• Prayer Support