Projects

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Strong App Workout Analysis

Crafted a Python app with Pandas, Plotnine, and Shiny akin to the Strong Workout Tracker Gym Log. It unlocks all features for free, including 1 rep max predictions, all-time bests per exercise, and workout volume trends over custom date ranges. Ideal for fitness tracking without paywalls.

Heat Pump Efficiency Analysis

Utilized Python, Pandas, Plotnine, open_meteo, and Shiny to create a dashboard that aids in evaluating heat pump efficiency through weather data analysis for U.S. cities with populations over 10,000. Features include weather visualization by city, customizable date and temperature ranges, and trend analysis, enabling informed decisions on heat pump installations.

TrendHub

Utilized React, Node.js, SQL, and Google Cloud to develop an application that grants users the ability to view YouTube video trends in the USA, while allowing them to compare their own videos with these trends using their own data.

TimeStamp

Utilized HTML, CSS, JS, Nodejs, and Google Calender API to create a Chrome extension that allows user to highlight an event and its information, then seamlessly add it to their Google Calendar.

CLAID Website

Utilized HTML, CSS, JS, and MongoDB to create a dynamic and interactive site that offers various resources, event updates, and an integrated Instagram feed to engage the community.

Chicago STAC Website

Utilized HTML and CSS, to develop the a website that showcases the organization's mission, courses, and student testimonials.