Arnav Garg
@arnavgarg
Computer science and data science student skilled in data analytics, BI, and full‑stack development.
What I'm looking for
I am a computer science and data science undergraduate combining technical rigor with practical analytics experience. I have delivered Power BI dashboards and automated ETL workflows that uncovered $56M+ in growth opportunities and improved reporting efficiency.
My internship and independent projects span data engineering, business intelligence, and full‑stack development — from PostgreSQL-backed dashboards and R Shiny apps to Node.js APIs and JavaScript front ends. I hold certifications in Python and Salesforce and regularly apply SQL, Python, R, DAX, and Power Platform tools.
I bring a results-oriented mindset, strong communication from consulting and leadership roles, and a focus on building scalable analytics solutions that translate data into business impact.
Experience
Work history, roles, and key accomplishments
Full-Stack Developer
Independent Project
Sep 2024 - Present (1 year 4 months)
Developed a full-stack quiz application with user authentication, CRUD quiz management, and a Node.js/Express API interacting with MongoDB to persist users and quiz history.
Independent Data Analyst
Independent Project
May 2025 - Jun 2026 (1 year 1 month)
Built and deployed an R Shiny app analyzing 5 years of NBA play-by-play data to identify top clutch players, engineering tidyverse pipelines and interactive Plotly visuals.
Data Analytics Intern
CommScope
Jun 2025 - Aug 2025 (2 months)
Enhanced Power BI dashboards and automated ETL workflows, reducing analysis and reporting time by ~20–25% and enabling leadership to identify $56M+ in growth opportunities across APAC and NAR.
Independent Data Analyst
Independent Project
Nov 2024 - Jan 2025 (2 months)
Built automated Power BI dashboards backed by PostgreSQL and advanced SQL to visualize NFL offensive formations and team performance for strategic insights.
Management Consulting Intern
Karpool
May 2024 - Jul 2024 (2 months)
Developed an 8-week capability-building plan and a phased market penetration strategy including SWOT and financial modeling, projecting a 40% potential business increase.
Education
Degrees, certifications, and relevant coursework
University of Wisconsin - Madison
Bachelor of Science, Computer Science and Data Science
Grade: GPA 3.57
Pursuing a Bachelor of Science in Computer Science and Data Science with a 3.57 GPA and coursework in algorithms, linear algebra, databases, and machine learning; expected graduation May 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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