SQL Healthcare Analytics Project
Explored a 100,000+ record patient healthcare dataset in SQL, analyzing hospital quality and length-of-stay metrics to identify trends and reporting opportunities.

I'm a data analyst who bridges technical rigor with a science background, from lab research in CAR-T cell therapy to statistical modeling and dashboarding in SQL, Python, Power BI, and Tableau.
Explore my work in healthcare data analytics, showcasing my projects and the skills I've developed during my externship.
Explored a 100,000+ record patient healthcare dataset in SQL, analyzing hospital quality and length-of-stay metrics to identify trends and reporting opportunities.
Conducted comprehensive financial analysis using SQL to evaluate the global financial and accounting landscape for the World Bank dataset.
Analyzed 2,000+ rows of customer behavioral data using VLOOKUPs, Pivot Tables, and charts in Excel to evaluate campaign performance and inform business decisions.
Built dashboards and data models applying DAX measures (PARALLELPERIOD, TOTALYTD), Power Query transformations, date tables, and conditional formatting to turn raw data into actionable reporting.
Built an interactive dashboard covering 1,800+ Massachusetts school systems, enabling at-a-glance understanding of key performance metrics for stakeholders.
Performed exploratory data analysis using Pandas, NumPy, and Matplotlib to troubleshoot a manufacturing process issue and surface data-driven insights.
Applied statistical modeling and machine learning in R to identify key factors driving employee attrition.

Breaking Games · Sep 2026 · ✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
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Amazon · ✅ Verified by Extern · ⏱️ In progress
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
I'm a data analyst who bridges technical rigor with a science background, from lab research in CAR-T cell therapy to statistical modeling and dashboarding in SQL, Python, Power BI, and Tableau.
I am a recent graduate holding a Master’s degree, currently seeking to strengthen my resume and gain valuable experience in the healthcare analytics field. My externship at TruBridge has equipped me with foundational skills in data analytics, preparing me for future opportunities.
Externships
Amazon Operational Strategy & People Analytics Externship
In progress
Experience
Research Technician III
Center for Cell and Gene Therapy, Baylor College of Medicine · June 2015 6 July 2017
Customer Service Representative
Nationwide Credit, Inc. · August 2013 6 May 2015
Graduate Teaching Assistant
Binghamton University · May 2013 6 May 2015
Education
Western Governors University
Bachelor of Science, Data Analytics · Class of 2025
Binghamton University
Master of Arts, Biological Sciences · Class of 2014
Binghamton University
Bachelor of Science, Biological Sciences · Class of 2013
Data Career Jumpstart
Data Analytics Bootcamp Certificate (Online) · Class of 2026
Skills
Explored a 100,000+ record patient healthcare dataset in SQL, analyzing hospital quality and length-of-stay metrics to identify trends and reporting opportunities.
Conducted comprehensive financial analysis using SQL to evaluate the global financial and accounting landscape for the World Bank dataset.
Analyzed 2,000+ rows of customer behavioral data using VLOOKUPs, Pivot Tables, and charts in Excel to evaluate campaign performance and inform business decisions.
Built dashboards and data models applying DAX measures (PARALLELPERIOD, TOTALYTD), Power Query transformations, date tables, and conditional formatting to turn raw data into actionable reporting.
Built an interactive dashboard covering 1,800+ Massachusetts school systems, enabling at-a-glance understanding of key performance metrics for stakeholders.
Performed exploratory data analysis using Pandas, NumPy, and Matplotlib to troubleshoot a manufacturing process issue and surface data-driven insights.
Applied statistical modeling and machine learning in R to identify key factors driving employee attrition.
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six raw CSV data sources into an analytics database and produced a Q4 dashboard. The work mapped data schemas, identified cleanliness and consistency issues, and defined the tables and relationships needed for reporting. Deliverables included the transformed database schema and a functioning Q4 dashboard.

I built an analytics-ready SQLite database from six CSVs, documented table contents and relationships, and produced SQL queries that returned key metrics including product count (99), ad spend ($37,200.94), top products, revenue leaders, and unique checkout counts.
✅ Verified by Extern · ⏱️ In progress
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
The externship combined web scraping, people analytics, and operational-context research for Amazon fulfillment centers. The work analyzed employee reviews and operational literature, mapped common retention risk factors, and translated those findings into persona-based insights and recommended touchpoints. Deliverables included scraped review datasets, an analysis of turnover drivers, and
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I produced a tabular roster of fulfillment-center roles that documented responsibilities, common tools, and close collaborators, creating a structured workforce map used in subsequent turnover analysis.
During the externship I compiled a workforce map for an Amazon Fulfillment Center. I listed roles (e.g., Learning Ambassador, Picker, Packer), their main responsibilities, who they worked with, common tools, and notes about why each role mattered.
The project loaded 141 Glassdoor reviews, identified and removed seven noninformative columns, cleaned column names and duplicates, and exported a final CSV with review_pros, review_cons, and transcript fields ready for analysis.