🎓 Master’s in Analytics @ Northeastern University (2024–2026) — GPA 4.0
📍 Boston, MA | 📧 [email protected] | 🔗 LinkedIn
I’m a data-driven problem solver who blends analytics, machine learning, and strategic thinking to turn raw data into actionable insights.
With roots in Operations & Supply Chain Management and hands-on experience across logistics, marketing, and predictive analytics, I thrive where numbers meet impact.
💡 I love:
- Finding hidden patterns in messy data
- Designing machine learning models that actually get deployed
- Making decisions backed by data, logic, and a little curiosity
Languages: Python, R, SQL, MATLAB
Analytics & ML: Scikit-learn, TensorFlow, CatBoost, LightGBM, PCA, KMeans
Visualization: Tableau, Power BI, Matplotlib, Seaborn
Databases: MySQL, PostgreSQL, SQL Server
Other: Excel (Advanced), Data Wrangling, Statistical Modeling
- Predicted injury severity with 94% accuracy using CatBoost & LightGBM
- Identified crash archetypes via K-means & PCA
- Applied Apriori rule mining for risk factor patterns
- Logistic regression & chi-square analysis to reveal disparities in searches
- Found correlation between demographics and search probability
- Real-time anomaly detection system for airport logistics networks
- Achieved 95% threat reduction through advanced SQL queries & monitoring
- Ranked Massachusetts neighborhoods by “refill-readiness” score
- Used clustering + Huff Model for market share estimation
- Collaborator: I enjoy cross-disciplinary teamwork
- Problem Solver: From optimizing shipping routes to forecasting demand
- Impact-Driven: I use data for safer roads, greener cities, and smarter logistics
📧 Email: [email protected]
🔗 LinkedIn: linkedin.com/in/jayeshp-242e
💻 GitHub: github.com/JayDataWorld08
⭐ “Data without context is just noise — I turn it into music.”