PRAGMATIC
OPERATOR
Translating complex data into clear action since 2020.
Origin File01. ABOUT
ORIGIN STORY
I started in computer science and moved into business analytics, and finished my MS at UMass Amherst to bridge writing code and driving strategy. I care less about the model that looks perfect on a slide, and more about the one that survives contact with real data.
APPROACH
Pragmatism over perfection, but pragmatism doesn't mean cutting corners. A model that ships and gets monitored beats a perfect one stuck in a notebook. I build for the whole lifecycle and leave an audit trail the next person can actually read.
Ops Log02. EXPERIENCE
UMASS AMHERST DINING
Student Supervisor
Automated 37-location ETL pipeline, cutting manual reporting from 2 hrs/day to 12 min/day. Led a team of student employees and implemented data-driven inventory forecasting.
ACMEGRADE
Data Science Intern
Built Random Forest churn predictor on 100K records; improved model accuracy 15% over baseline.
Mission History03. PROJECTS
Fraud Triage
XGBoost / Gemini
0.978 AUC; caught fraud the base model missed.
Corporate Analytics
Power BI / SQL
30% faster executive reviews via custom dashboards.
Hospital Readmission
Python / Gradient Boosting
90% recall on readmissions via threshold tuning.
Auto Insurance Churn
Gradient Boosting / SMOTE
ROC-AUC 0.70 on 92,849 policyholders.
Supply Chain Opt.
HBP Simulation / Python
34% cumulative margin across 4-year horizon.
Bullwhip Mitigation
HBP Simulation / Sourcing
54% gross margin under demand volatility.
Prime Air Drone Logistics
Geospatial / Network Design
3-hub network covering 7.9% of Massachusetts.
Strategy Summit
CAPSIM Simulation / Strategy
483% stock recovery; top-3 of 8 teams.
Analysis on Heart Disease Predictors
Python / Scikit-learn
~82% accuracy (Random Forest); ensemble + Flask app.
CPK Production Planner
In-Browser Tool / JS
Order report in, make lists and pick sheets out, across 36 locations.
Loadout 04. SKILLS
[+]CORE TECHNICAL STACK
DATA ENGINEERING
SQL, ETL/ELT, Python, Spark & Hadoop, Data Warehousing
ANALYTICS & BI
Power BI, Tableau, Power Query, KPI Design, Financial Modeling
MACHINE LEARNING
XGBoost, Random Forest, Logistic Regression, SHAP, SMOTE
PROGRAMMING
Python, SQL, R, VBA, REST APIs, LLM Integration
STRATEGY & OPS
Demand Forecasting, Supply Chain Optimization, Capacity Planning
CERTIFICATIONS
Data Analysis with Python
IBM
Intro to Big Data with Spark & Hadoop
IBM
Supervised Learning with scikit-learn
DATACAMP
Ensemble Methods in Python
DATACAMP
Introduction to Power BI
DATACAMP
Working with Hugging Face
DATACAMP
Database Management Essentials
UC COLORADO
Side Quests05. INTERESTS
BEYOND THE SCREEN
A glimpse into what drives me when I'm not building systems.
ACCESS INTEREST_LOGS EXPLORE MY INTERESTS