📊 Data Scientist & Analyst | 💡 Problem Solver | 🧠 MSBA @ University of Minnesota
Hey there! I’m Justin — a data nerd who loves building practical solutions that actually make a difference.
Over the past 3+ years, I’ve worked on everything from fixing sudden sales dips in CPG companies to deploying machine learning models that forecast equity values and CPG product demand for Fortune 100 companies. I enjoy solving messy problems end-to-end — whether it's setting up real-time streaming data pipelines from scratch or figuring out why a campaign flopped.
Now, I’m deep into my master’s in Business Analytics at the University of Minnesota, continuing to sharpen both the business and technical edges.
🧠 AI, ML, Causal Inference, NLP, Time Series, Computer Vision | 💼 CPG, Finance
🥈 Hackathon Winner | 📊 Researcher | 🥊 Boxer & Gym Bro
| Project | Description |
|---|---|
| 🤝 MinneMUDAC 2025 Winners | Match length prediction for Big Brothers Big Sisters using NLP + demographics |
| 🧪 Analytics For Good Hackathon | Found a causal impact of chatbot engagement on student performance |
| 🗣️ HermesAI | Real-time audio streaming sentiment analysis assistant |
| 🐶 Cats vs Dogs | CNN & transfer learning for image classification |
| 📈 Optiver Trading | GRU-based time series model for predicting stock price movements |
| 🏀 NIL Impact on NCAA Players | DiD causal analysis on athlete performance pre/post NIL policy |
| 💰 Freemium Targeting | Built a conversion model that improved campaign ROI by 219% |
I’m kind of a jack-of-all-data-trades — part data scientist, part analyst, part builder. Here's a quick breakdown of what I’ve been up to:
- 📈 Built and deployed forecasting models for equity and product demand
- 🔄 Designed streaming data pipelines and warehouses — end-to-end
- 📊 Created a Power BI dashboard with custom KPIs for C-suite stakeholders
- 📉 Investigated a sudden sales crash in Thailand (and explained it!)
- 🤝 Worked directly with clients, bridging technical and business needs
- 🥈 2nd Place – MinneMUDAC 2025 – Predicted mentorship longevity using NLP and census data
- 🥈 2nd Place – Analytics for Good Hackathon 2025 – Showed how a chatbot helped boost student grades using causal inference
- 🧪 1st Place - Live Case Competition Carson School Of Management Researched the impact of NCAA’s NIL policy using DiD
- 💻 On Kaggle when I can — mostly time series, NLP, and anything that breaks my brain a bit
You’ll probably find me in the gym or throwing punches in the boxing ring. Discipline, reps, and resilience — whether it’s weight training or training models, I love both.
"In God we trust. All others must bring data." – W. Edwards Deming
Thanks for stopping by — let’s build something cool. 🚀