- Organize and analyze student data at the Youth Source Center (YSC), enabling case managers to make data-driven decisions, including monitoring upcoming 60-day activity deadlines, tracking internship hours per student across various funding sources, and managing available spots and hours allocation effectively.

- As the inaugural data specialist, assumed sole responsibility for developing multiple dashboards in Excel and Google Sheets to visualize, organize, and track our department’s student data and yearly expenses- Initiated the team's migration from paper-filled forms to Microsoft Forms linked with Excel, reducing workload for Youth Advocates. Introduced an Excel workflow for easily filtering and printing individual student forms, leveraging my role as the sole data specialist.- Proactively analyze company data to identify students nearing 90 days of inactivity, enabling timely intervention by case managers to engage students in activities.- Developed and generated detailed reports using Python to identify and explain cases where student entries were not activated, facilitating informed decision-making for management.

- Utilize marketing strategies such as Google Ads, A+ content, amazon coupons, amazon promotions, tiktok advertising, and Amazon brand advertisements to increase sales by 200%- Manage spreadsheets to keep track of transactions, expenses, and the company’s capital account- Adjust our advertisements to better increase conversion rates using KPIs such as ACOS and ROAS

• Established a baseline of average concentrations of PM2.5, CO2, and Ozone in states to investigate potential positive correlations with chronic illnesses• Employed regression models to estimate the associations between each pollutant (PM2.5, Ozone, CO2) and the prevalence of corresponding chronic illnesses (COPD and Asthma) in different states• Conducted rigorous statistical analysis using techniques like Bonferroni (Family-wise Error Rate), Benjamini- Hochberg (False Discovery Rate), and Benjamini–Yekutieli (False Discovery Rate) to identify significant associations between pollutants and chronic illnesses in different states

Developed a mobile application that enables users to discover and join pickup soccer games at local fields, leading to a 50% growth in active user base and fostering a vibrant local soccer community• Led the end-to-end development of an innovative mobile application using Swift, Google Maps API, Firebase Authentication, Firebase Realtime Database, and an SQLite Database, resulting in a seamless user experience, a 20% reduction in app loading time, and a 15% decrease in server costs• Built an optimized data caching solution with SQLite Database, reducing expenses associated with Firebase's Realtime Database by 15%

Collaborated with the consulting team to create a quote calculator for a moving company, streamlining the quotation process, reducing manual errors by 90%, and improving customer satisfaction by providing accurate and instant quotes