Nisarg Patel

Data Analyst · MS in Data Analytics · Open to Summer 2026 Co-ops and Internships

Master's student in Data Analytics at the University of Niagara Falls, Canada (expected Jan 2027). Skilled in Python, SQL, R, Power BI, Tableau, GIS, and optimization with Gurobi. I work across domains — spatial analysis, forecasting, financial analytics, and supply-chain optimization. Based in St. Catharines, ON — open to remote or in-person co-ops.

Nisarg Patel

Projects

Milton Transit Desert Analysis

Mapped transit coverage gaps across Milton, ON — 22.9 % of residents live in transit deserts, with 47 of 171 zones underserved at the 400 m buffer threshold.

Python GeoPandas Folium GTFS Shapely Census

Finance Risk & Fraud Detection

End-to-end XGBoost fraud detection system optimized for cost-benefit analysis. Projected $917 k in savings with SHAP-based explainability for business-centric decisions.

Python XGBoost SHAP Cost-Benefit Analysis

Student Churn Early Warning

Built an early-warning system from 10 M+ OULAD clickstream records. Achieves 70 % precision by Week 4 — behavioral momentum proved 5× stronger than demographics.

Python Random Forest Pandas Educational Analytics

Loan Process Optimization

Process-mined a bank's loan lifecycle on the BPI 2017 dataset. Identified bottlenecks and proposed AI-OCR integration to cut processing time by 90 %.

Python Process Mining Optimization Load Balancing

Olist E-Commerce Analytics

RFM segmentation, Customer Lifetime Value modeling, and logistics-performance correlation analysis on the Brazilian Olist e-commerce dataset.

Python RFM Analysis CLV Modeling Jupyter

Skills

Languages

Python SQL R

Libraries & ML

Pandas NumPy Scikit-learn XGBoost Prophet OR-Tools

Geospatial

GeoPandas Folium Shapely QGIS

BI & Visualization

Tableau Power BI Matplotlib Seaborn

Data & Tools

Excel Google Sheets Jupyter Git GitHub

Domains

Forecasting Optimization Spatial Analysis Financial Analytics Supply Chain

Let's Connect

Always excited to chat about data, collaborate on interesting projects, or discuss co-op opportunities. Whether you're a recruiter, fellow student, or just someone who loves data — let's connect.