Projects
My project experiences have allowed me to apply analytical and financial modeling techniques to a variety of real-world scenarios. From evaluating trading platforms and cryptocurrencies to analyzing company performance and life expectancy trends, I’ve developed strong data-driven decision-making skills across different sectors.
01
HSY Financial Analysis Report
This financial analysis of Hershey (HSY) recommends a “Buy” rating with a target price of $210 per share, based on a detailed examination of its performance and growth projections. The report outlines Hershey’s solid financial standing, with steady revenue growth and a promising increase in earnings. The analysis highlights Hershey’s free cash flow, stable dividend payouts, and market position, while also considering the potential risks from changing analyst ratings.
02
TAQ Report
This report focuses on analyzing the execution quality of trades across various exchanges to determine the most cost-effective platforms for routing orders. By examining transaction data and calculating metrics like quoted and effective spreads, the report identifies Exchange J as the most efficient for minimizing transaction costs. It also highlights the segmentation in the market based on average transaction sizes across exchanges and emphasizes the role of efficient trading venues in enhancing profitability.
03
Crypto Research Report
This research explores 10 major cryptocurrencies, analyzing their financial performance, transaction speeds, consensus mechanisms, and market adoption. A particular focus is given to Ripple (XRP) and its potential for growth, alongside the risks and opportunities within the cryptocurrency market. The report also discusses the impact of monetary policies on cryptocurrency values and explores the future prospects of these digital assets, particularly in light of Ripple’s ongoing legal challenges.
04
Empirical Project Report
This study examines the factors influencing life expectancy across 197 countries, using multiple linear regression analysis to model the relationship between life expectancy and variables such as BMI, government health expenditure, and GDP. The findings indicate significant correlations between life expectancy and factors like healthcare spending and adult mortality rates. The report also discusses the model’s diagnostics, variable selection, and validation methods, highlighting the importance of health investment for improving life expectancy.
