Breaking Games Externship via Extern
Passionate about transforming complex data into actionable insights using Python, SQL, predictive analytics, and visualization to solve real-world problems and drive data-informed decisions.
🟢 Open to workProjects include analysis and visualizations completed during the TruBridge externship, showing data cleaning, exploratory analysis, and presentation of findings.
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TruBridge · Sep 2026 · ✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on analyzing public health datasets and building data products that reveal clinical and operational patterns.
Breaking Games · ✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Coursera · Aug 2026
Processed and cleaned 5.8M+ ride records using Python to analyze rider cohort behavior/LTV modeling, building an interactive Tableau dashboard and deriving 3 targeted marketing strategies to convert high-duration casual riders into annual members.
Personal Project · Sep 2025
Consumed the ESPN API to render real-time scores, rosters, and schedules in a single page React app; designed a responsive SCSS/Bootstrap 5 grid optimized across mobile and desktop viewports.
Passionate about transforming complex data into actionable insights using Python, SQL, predictive analytics, and visualization to solve real-world problems and drive data-informed decisions.
My journey into the technology field began with a pivot from the pre-med track to computer science. With a bachelor's degree in Biology, I developed strong analytical thinking, problem-solving, and research skills that I carried into my master's in Computer Science. Transitioning into a new field challenged me to adapt, learn quickly, and step outside my comfort zone. Along the way, I discovered my passion for data and technology, as well as my ability to embrace new challenges. This journey has shaped me into a curious, adaptable, and driven learner who is always eager to grow.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
SQL & Database Architecture Extern
Breaking Games · Oct 2026 - Present
Data Analytics Extern
TruBridge · Aug 2026 - Sept 2026
Software Engineering Professional Development
Hofstra University · Jun 2025 Nov 2025
Education
New York Institute of Technology
M.S. Computer Science · Class of 2026
New York Institute of Technology
B.S. Biology · Class of 2024
Skills
✅ Verified by Extern
A TruBridge externship in healthcare data analytics focused on analyzing public health datasets and building data products that reveal clinical and operational patterns.
The project worked with large public healthcare datasets to identify patterns in infections and clinical outcomes. The work established analytical approaches, documented limitations of correlational methods, and produced foundations for downstream statistical modeling and dashboard development.
I selected and validated the CDC PLACES county-level CSV using a six-dimension fitness checklist, confirming it contained paired health outcomes and SDOH variables for over 3,100 counties with minimal missingness.
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six messy CSV files into a structured analytics database and a Q4 dashboard. The work mapped source tables, defined schema and relationships, and prepared cleaned, joined datasets for reporting. Deliverables included the database schema definitions and a functioning dashboard built from the transformed data.
I inspected six raw data tables, documented their contents and analytic uses, and produced SQL queries and a Week 1 document that captured five instant answers (top products, revenue, catalog size, ad spend, and related results).
I inspected six raw data tables, described what each contained and what questions they could answer, ran SQL queries for five instant answers (top products, revenue, catalog size, ad spend, etc.), and saved the queries and results in a Week 1 holiday game plan document.
Coursera · Aug 2026
Processed and cleaned 5.8M+ ride records using Python to analyze rider cohort behavior/LTV modeling, building an interactive Tableau dashboard and deriving 3 targeted marketing strategies to convert high-duration casual riders into annual members.
Processed and cleaned 5.8M+ ride records using Python to analyze rider cohort behavior/LTV modeling, building an interactive Tableau dashboard and deriving 3 targeted marketing strategies to convert high-duration casual riders into annual members.
Cyclistic's finance team concluded that annual members are significantly more profitable than casual riders. While flexible pricing plans attract casual riders, converting them into annual members is key to long-term business growth. This project analyzes 12 months of historical trip data to understand distinct behavioral patterns between rider types and proposes 3 targeted, data-driven marketing
Personal Project · Sep 2025
Consumed the ESPN API to render real-time scores, rosters, and schedules in a single page React app; designed a responsive SCSS/Bootstrap 5 grid optimized across mobile and desktop viewports.
Consumed the ESPN API to render real-time scores, rosters, and schedules in a single page React app; designed a responsive SCSS/Bootstrap 5 grid optimized across mobile and desktop viewports.
