Athletic Recruiting Filter & ETL Analytics Pipeline
A practical pipeline for turning messy recruiting emails into ranked, coach-readable outputs.
From: Recruit #10
Email
nameclubstats
Parse
87/ 100
Score
Rank
Export
hi there.
i'm andrew. thank you for stopping by, check out my resume and work!
i'm always looking to learn from others in any field. i find personal joy in the passions and interests of people i meet.
here i aim to document my learning, experiences, and work. if we're going to be replaced by ai it might as well be accurate.
please get in touch!
Predictive analytics project for player tracking, recruiting context, and zone-level performance patterns.
Click a zone to view statistics
Industrial Engineering · Statistics · Purdue '28
B.S. Industrial Engineering · Minor in Statistics
Wafer fab signals are staged into structured tables, fed into yield-forecast models, and surfaced as decision-ready dashboards for R&D.
Player tracking, scouting tables, and predictive models distilled into actionable gameplans for the coaching staff.
Drone missions captured under automated flight routines, then packaged and delivered to clients online.
Developed customer service skills in Korean while serving a diverse customer base as sole weekend cashier/clerk.
Competed on a 6-member Purdue team as a 2000+ ELO-rated competitor against top US universities.
Mentored students using AutoCAD software and consulted peers on engineering design assemblies.
Recruit emails are fetched, parsed, scored against a rubric, projected into ranked models, and exported as coach-ready CSV files and graphs.
Six parametric DCF models built from historical cost data, evaluated against NPV/IRR/MARR benchmarks, and summarized into a recommendation-grade technical report.
Rapid Chess | Soccer | Hiking | Game/Decision Theory | Tech Sector Coverage | Kung Fu Movies
Everyone has something to teach that I'd like to learn. Please reach me at: