I am a Data Scientist with Product Thinking and a Former Entrepreneur. I specialize in bridging the gap between complex technical models and real-world business impact.

My philosophy is simple: Technology shouldn't just be used; it must be purposeful. Models shouldn't just be trained; they must serve a specific pain point and deliver measurable commercial value.

I am a strong believer in Rapid Prototyping and Hypothesis Validation. I often challenge my own assumptions by building MVPs to test new ideas. If a prototype fails to solve the core pain point or lacks clear business impact, I am not afraid to pivot and dismantle my original concept. To me, identifying what doesn't work is just as valuable as finding what does in the pursuit of the most effective solution.

With a background as a 2x Founder and Product Manager, I bring a unique perspective to data science—combining analytical rigor with a strategic mindset.

Currently pursuing M.S. in Applied Data Science at The University of Chicago (Dec 2026).

• Applied Machine Learning: Building models that solve actual business bottlenecks.
• Generative AI & LLM Strategy: Architecting AI-native workflows and agentic systems to automate cognitive labor and optimize complex decision-making processes.
• Product & Growth Analytics: Leveraging data and experimentation (A/B testing) to drive user acquisition and retention.
• Strategic Decision Making: Using Bayesian models and causal inference to inform business pivots and marketing efficiency.

Programming & Backend

Data & Infrastructure

Web & Marketing Tech

Cloud, AI & Strategy

• Market Analysis: Identifying trends and competitive landscapes to guide product-market fit.
• Experimentation: Designing and analyzing A/B Tests to validate product hypotheses.
• Marketing Mix Modeling: Experienced with Meridian (Hierarchical Bayesian Model) for high-level causal inference and budget optimization.
• Business Intelligence: Translating complex data into executive-ready insights via Tableau and Streamlit.

I operate across a broad spectrum of the product lifecycle:

Product Management & Strategy ↔ Data Science & Analytics ↔ Applied AI & System Deployment

My goal is to be the "Data-Product Translator" who ensures technical excellence always meets business objectives.