Food Data Analysis
Large-scale analysis of USDA branded food products. Outlier cleaning, a custom Nutrient Density Score, K-means clustering, PCA, and category deep dives. Open the slideshow for charts, metrics, and takeaway slides.
Data Analyst based in New York. M.S. in Data Science.
I help people finish technical projects across fields. Family, friends, and small business owners reach out for the work they do not have time for. Recent client work spans classroom data analytics for an NYC public-school teacher, and inventory tracking sheet for a Battery Park apartment-complex superintendent. As well some website design, an acting portfolio for Chris Michael, and a fashion design site for Sophia Caridad. See the full freelance breakdown.
The work I care about most sits at the edge of data and real life. My personal projects involve nutrition research because of my goal of following healthy practices daily. In my free time, I do home improvement construction, running repairs, and brainstorming ideas with my girlfriend on projects for our property.
A mix of personal projects and client work.
Large-scale analysis of USDA branded food products. Outlier cleaning, a custom Nutrient Density Score, K-means clustering, PCA, and category deep dives. Open the slideshow for charts, metrics, and takeaway slides.
Normalized SQLite build for a USDA food-inventory sample. Five 3NF tables, an audit trigger logs every nutrient correction to a separate audit log, and three views ship CSV-ready output for analysis.
Client task for an NYC public-school teacher: turn classroom observation notes into a measurable progression story. The analysis tracked 40 school days across baseline, strategy, and mastery phases, showing confidence growth from 2.0 to 4.7 and clear next-cycle actions.
Three areas where you spend most of an analyst's day.
Source raw files, clean them with documented steps, and answer the business question in writing. You get a number you trust and the audit trail behind the number.
Charts decision-makers act on, not decoration. Built in Python or R, shipped as static reports, slide decks, or web dashboards your team opens daily.
K-means, PCA, OLS, and other lightweight methods with diagnostics. You get a model, the assumptions in play, and a written note on when to trust the output.
Tools you would see open on my screen any week.
Independent
Looking for Data Developer, Data Analyst, BI Analyst, or Analytics Engineer roles. Full-time, internship, contract, or freelance project. Based in NYC, open to remote.
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