Currently an Extern @Beats By Dre·🟢 Open to work
Exploring creative advertising strategy while gaining hands-on experience through a Beats by Dre externship.
Project-based work from my Beats by Dre externship and other early-career assignments, focused on advertising strategy, research, and concept development.
Two-stage creator search: vector retrieval followed by hybrid re-ranking across semantic relevance, commercial performance and brand-audience fit, with a categorical zero-GMV veto. Type-checked in CI.
Streamlit screening application scoring candidates across six weighted dimensions, combining sentence-transformer similarity with rule-based extraction; concurrent PDF parsing via a thread pool, SQLite persistence and Plotly reporting.
Exploring creative advertising strategy while gaining hands-on experience through a Beats by Dre externship.
I am Varun. I have some work experience and I'm currently exploring creative advertising through the Beats by Dre Creative Advertising Strategy externship. I am building practical skills and shaping the direction of my career as I take on project-based work and learn from industry practice.
Externships
Beats by Dre Creative Advertising Strategy Externship
Beats By Dre
Experience
Software Developer
Modern Streaming · Dec 2025 – Present
Software Developer
Triveni IT · Aug 2025 – Dec 2025
AI/ML Engineer
Smart Rewards Inc. · Mar 2025 – Aug 2025
Research Assistant
Drexel University, College of Computing & Informatics · Oct 2024 – Mar 2025
Research Intern
Drexel University, College of Computing & Informatics · Sep 2023 – Dec 2023
Junior Software Engineer
Cognizant · Jul 2020 – Jul 2022
Education
Drexel University
M.S., Data Science · Class of 2024
SRM University
B.Tech, Computer Science & Engineering · Class of 2020
Skills
Two-stage creator search: vector retrieval followed by hybrid re-ranking across semantic relevance, commercial performance and brand-audience fit, with a categorical zero-GMV veto. Type-checked in CI.
Streamlit screening application scoring candidates across six weighted dimensions, combining sentence-transformer similarity with rule-based extraction; concurrent PDF parsing via a thread pool, SQLite persistence and Plotly reporting.
LangChain RAG over user-supplied PDFs with a Groq-hosted Llama 3.1 model, surfacing the retrieved source chunks alongside every answer so responses can be verified against the document.
✅ Verified by Extern · ⏱️ In progress
The externship examined video advertising across TikTok, Instagram, and YouTube, documenting platform mechanics, attention-economics principles, and competitor positioning in the premium audio market. The work compared how algorithms affect ad visibility and summarized tradeoffs between creative formats and platform constraints.
I analyzed platform mechanics and audience signals, mapped competitors, and synthesized attention-economics concepts into actionable observations that shaped the creative brief.