Economics and Statistical Data Science Student

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Technical Skills: Python, R, Stata, Git/Github, VS Code, Excel, Word, Outlook, Minitab, Adobe InDesign, Google Workspace

About Me

My key areas of interest include statistical learning, econometrics, economic forecasting, and financial analysis. I am particularly drawn to industries where these technologies can drive meaningful improvements, such as healthcare, technology, and finance. I chose this field because of its dynamic nature. I enjoy learning new concepts and continuously expanding my skills to stay ahead in this ever-evolving landscape.

During the semester, I work as a Peer Advisor and Tutor for UConn’s Department of Economics. I truly enjoy being involved in the department and supporting my peers in their academic journeys. Additionally, in Fall 2024, I interned with UConn’s Field Hockey team as a Video Analyst and Student Manager through the Sports Statistical Learning Internship. This experience greatly expanded my knowledge of sports analytics and the various methods used to evaluate performance and strategy. At the end of the season, I compiled and presented a comprehensive report summarizing key insights.

In Summer 2024, I worked as an Underwriting and Analytics Intern at The Cigna Group, where I collaborated with the Pharmacy Underwriting team within Evernorth Health Services. Over the course of 10 weeks, I gained valuable experience in understanding the role of Pharmacy Benefit Managers (PBMs) and how they navigate complex healthcare challenges. This internship provided me with meaningful projects that deepened my knowledge of PBMs and their impact on the healthcare system.

Education

B.S. Economics and Statistical Data Science

University of Connecticut, May 2025

GPA: 3.77/4.0

Convex Optimization and Machine Learning
Introduction to Statistical Learning
Elementary Economic Forecasting
Applied Linear Regression in Data Science
Financial Econometrics
Data Ethics
Econometrics II
Statistical Programming
Linear Algebra
Mathematical Economics

Awards:

Dean’s List: Spring 2024, Fall 2023, Spring 2023, Fall 2022
New England Scholar: 2023
Husky Achievement Award Scholarship

Data Science Projects

Tracking Depressive Symptom Rates in America

University of Connecticut - Data Science Capstone

As part of my Spring 2025 capstone, I conducted an in-depth analysis of how reported depression symptoms varied across demographic groups in the United States. Using data from the CDC’s Household Pulse Survey, this project examined trends in adult depression rates from May 2020 to August 2024. The objective was to uncover disparities across age, sex, race, education, and geographic regions, providing insight into the social and economic toll of the COVID-19 pandemic. The analysis employed non-parametric statistical tests to assess significant differences in symptom reporting across subgroups.

Keywords: age, education, ethnicity, mental health, pandemic, race, sex, state

Field Hockey APC Analysis

University of Connecticut– Sports Statistical Learning Internship

In the Fall 2024 semester, I had the opportunity to collaborate with UConn’s Field Hockey team through the UConn Sports Statistical Learning Internship. This experience allowed me to investigate various factors influencing the success of attacking penalty corners. My aim was to provide actionable insights that could help enhance team strategies and improve performance outcomes.

This project is part of my broader effort to apply data science across a diverse range of fields, contributing valuable analysis to real-world challenges.

Keywords: Sports analysis, scoring rate, Extreme Gradiant Boosting, feature importance, opponent analysis, classification, Plotnine, python.

Data Visualization with Plotnine

This class note contribution focuses on Plotnine, a Python library for creating visually appealing and effective visualizations. It includes examples and explanations of the various ways to customize visualizations, making them both user-friendly and informative. These resources are designed to help students develop skills they can apply in their careers, whether in corporate settings or academia.

These notes were presented to the Dr. Jun Yan’s Fall 2024 Introduction to Data Science class.

Keywords: Plotnine, python, lesson contribution, grammar of graphics, visualization, readability, facet plots, scatterplot, bar chart, histogram, line chart, regression line, customization.

NASDAQ Composite Index Prediction

This project applies statistical learning techniques to predict the NASDAQ Composite Index, combining my interests in Economics and Data Science. Using historical stock data from January 4, 2010, to October 25, 2024, the analysis identifies key predictors of stock price movements, examines the impact of seasonality, and evaluates the effectiveness of machine learning models for time-series forecasting.

Keywords: Moving Average, Extreme Gradient Boosting (XGBoost), Python, Plotnine, feature importance analysis, time-series forecasting, feature engineering, financial analysis

Experience

UConn Department of Economics

Storrs, Connecticut

Peer Academic Advisor | August 2024 – Present

Facilitate informed decision-making for students through academic advising on course selection, CLAS requirements, and major plan-of-study, ensuring alignment with academic goals during drop-in hours.
Oversee office operations for a department serving 1,200 students, including managing student flow, creating a bi-weekly newsletter, and supporting advisors in daily task execution to streamline departmental functions.
Lead group advising workshops for first year and transfer students, presenting essential information on course registration and academic resources, while fostering peer-to-peer engagement and addressing individual concerns.

Economics Tutor | September 2024 – Present

Deliver comprehensive in-depth explanations of economic theories, address student questions, and support their understanding of both introductory and intermediate macroeconomic and microeconomic concepts.
Cultivate an inclusive environment, encouraging students to ask questions and actively participate in discussions.

UConn Sports Statistical Learning Internship

Storrs, Connecticut

Field Hockey Video Analyst | August 2024 – December 2024

Developed statistical learning models in Python to analyze penalty corner metrics, integrating data analysis and visualizations to support strategic play planning and informed coaching decisions.
Extracted and analyzed data from season game footage to provide coaching staff insights on tactical strategies, scout performance, and zone entries, resulting in optimized gameplay tactics and improved team performance.
Configured and managed camera equipment and sideline technologies to ensure precise data capture, enabling real-time analysis of player actions, substitutions, and tactical adjustments.

The Cigna Group

Morris Plains, New Jersey

Underwriting & Analytics Intern | May 2024 – July 2024

Worked collaboratively with stakeholders and subject matter experts to create a comprehensive finance workflow chart resulting in enhanced team understanding of the client pricing cycle and internal financial processes.
Developed data-driven strategy roadmaps for the Pricing Team, analyzing client requests, risk assessment, internal procedures, and projected financial impacts of new pharmaceuticals and legislation on pricing models.
Presented findings and visualized insights for project stakeholders and team members, offering data-driven explanations to address understanding, ensure clarity, and drive alignment on improvements.

LAN Associates

Midland Park, New Jersey

Marketing Intern | June 2023 – August 2023

Analyzed and developed essential databases and documents through MS Excel to maintain current and accurate information that enhanced internal client understanding and business development operations.
Utilized Adobe InDesign to craft informative and visually appealing graphics featured in company social media posts, press releases, email campaigns, and presentations.
Organized and maintained the company website ensuring current and engaging content by highlighting notable projects and company accomplishments