I've spent years on the inside of data workflows — now I build the reporting and pipelines that make them actually reliable.
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🟢 Open to work — Data Analyst & Analytics Engineer roles. Available immediately, authorized to work in the US (OPT-STEM).
My background is a bit of an odd path. I started in aeronautical engineering, spent a few years in operations and customer support at Amazon and Accenture — identity verification, SLA tracking, case management, quality auditing — and somewhere along the way realised I cared more about the data side of that work than anything else.
So I went back to school, completed my M.S. in Data Science at Pace (3.79 GPA), and have been building from there: SQL, Python, Power BI, Excel (Power Query, Power Pivot, DAX), and enough pipeline work to understand what happens when the data going into a report is wrong. I'm currently in a 7-month Data Engineering bootcamp to go deeper on that pipeline side — not because I'm pivoting away from analytics, but because understanding how data gets built makes me a significantly better analyst.
Most recently I volunteered as a Data Science Team Assistant at Village Book Builders, where I maintained their weekly program reports in Google Sheets, built a Looker Studio dashboard for real-time visibility into program delivery, and used AI-assisted Google Apps Script to automate the weekly report generation schedule. Small org, real problems, no hand-holding.
I use AI tools (Claude, ChatGPT) actively in my work — for research, data interpretation, and scripting assistance. I think of AI as a productivity layer, not a replacement for understanding the data.
I care a lot about data quality and clear documentation. If a number on a report doesn't add up, I want to know why before anyone else notices.
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M.S. Data Science · Pace University · GPA 3.79
Jan 2023 – Dec 2024
SQL Python Machine Learning Algorithms for Data Science Statistical Modeling Data Visualization Database Management Big Data Analytics Data Mining Scalable Databases
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Data Engineering Bootcamp — In Progress (Expected Nov 2026)
SQL Pipelines ETL dbt Airflow Cloud Storage Data Modeling
**B.Tech, Aeronautical Engineering** MLR Institute of Technology · Aug 2015 – Sep 2019
Systems Thinking Quantitative Analysis Technical Communication Problem Solving
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Village Book Builders — Data Science Team Assistant (Volunteer) · Sep 2025 – Mar 2026 · Remote, USA
(Reporting & Dashboard Support)