Resume

Over the past year, I’ve fully immersed myself in data engineering and analytics — using this time to independently build high-impact projects, support early-stage startups, and sharpen my technical fluency across the entire data stack. With a background in Computer Science and experience in software development, I brought structure and scalability into every solution I worked on, combining engineering rigor with a sharp eye for storytelling​

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One standout project began as a curiosity: could there be a correlation between NBA player performance and city temperature? What started as a hard-coded analysis of LeBron James soon grew into a robust, scalable pipeline powered by Python and Pandas — capable of analyzing career-long temperature-adjusted performance for any player in the league. I built filters for scoring metrics (like Hollinger's  Game Score), weighted games for home/away and conference, and produced a brand-new analytic lens through which we can view greatness — culminating in “Team Fire” and “Team Ice”, teams made of players who thrive in the hottest or coldest cities. 

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I also completed a professional-grade HR dashboard in Tableau, a visually dynamic and interactive analytics solution that synthesizes large-scale HR data into meaningful insights. The dashboard includes over 15 visualizations, detailed tooltips, motion effects, and layered data — offering both executive-level overviews and per-employee drilldowns. Designed for real-world use, the dashboard brings together everything I’ve learned about data visualization, UX in reporting, and user-driven interactivity.​ In addition, I took on freelance analytics work for early-stage startups and college capstone groups, delivering dashboards, visual assets, and basic data warehouse setups. I created custom Canva-based visualizations, conducted exploratory analyses, and set up lightweight ETL processes to help teams make data-driven decisions even without full-time analysts on board.

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To round out my knowledge and ensure I'm working with the best practices in the industry, I also completed Data with Baraa's SQL Course on Youtube, a highly-regarded practical series that walks through real-world data workflows with Pandas, SQL, and more. This helped reinforce my foundation and exposed me to new techniques used by working data professionals.​​ Above all, this time has been about learning by doing — and producing tangible, portfolio-grade work that blends creativity, curiosity, and technical discipline.