tor.
PDF

Resume

Chirapon (Tor) Taepaisitphongse

tortaepaisitphongse@gmail.com+1 413 406 4853heytor.comlinkedin.com/in/ctae

Education

Carnegie Mellon University

BS in Information Systems and Statistics & Machine Learning

  • GPA: 3.64/4.0 (Dean's List)
  • Coursework: Deep Learning, Algorithms, Data Structures, Database Design, Probability & Inference, LP, Finance
  • Leadership: Vice-President for Undergraduate Consulting Club; Events Director for Data Science Club; Teaching Assistant for 67-262 Database Design & Development; Events Chair for Thai Students Association

Experience

Amazon

Business Intelligence Engineering Intern

  • Designed and shipped an AI agent that automatically finds, rewrites, and tests slow database queries; delivered 8 optimizations up to 69% faster and identified 80+ targets while cutting 1–3 hours of manual tuning to a review per query.
  • Diagnosed a 50% drop in search engagement for an L7 leadership business review, isolating missing supply from key brands and the customer search-understanding model as drivers, informing actions that recovered total searches by 27%.
  • Scoped and shipped a new dashboard for an internal catalog business owner, surfacing which brands drive lost search engagement and the levers to win them back, replacing manual analysis with a reusable self-service tool.

Accenture

Business Analyst & Backend Developer Intern

  • Built and analyzed integrated financial, HR, and transaction models to diagnose structural cost drivers for a Thai commercial bank, enabling the team to identify 15–20% cost reduction opportunities and automate KPI calculations.
  • Cut loan processing time by 30% and reduced servicing headcount by 50%+ by redesigning rice-mill lending and risk workflows around cash-flow-based assessment and embedded technology.
  • Implemented a RESTful API in Go to automate backend workflows for an internal marketing operations platform.

Hexa Tech Solutions — Leading Thai AI solutions provider

Data Solutions Intern

  • Built and deployed a predictive-maintenance system using XGBoost and AWS that generated real-time anomaly alerts with 97% accuracy, enabling operations teams to detect equipment failures before outages occurred.
  • Benchmarked data-cleaning tools by integration, functionality, and cost to select a scalable preprocessing stack, reducing preprocessing time and earning recognition from senior leadership.

Teaching Assistant

67-262 Database Design & Development

  • Led weekly labs and office hours for 150+ students per semester, teaching SQL, MongoDB, schema design, normalization, query optimization, pipeline automation, and security through structured walkthroughs and a final project.

Outreach and Program Coordinator

Charles Street Area Council

  • Secured $500K in grant funding by analyzing census data and leading needs assessments to support data-driven proposals.
  • Improved access by automating resource registration, rebuilding the website, and launching a newsletter for 500+ residents.

Community Involvement & Projects

Carnegie Mellon Data Science Club

Events Director

  • Directed 30+ technical events annually with key partners such as DeepMind, Jump Trading, and Databricks, driving 30% higher participation and engagement across CMU's 1,500+ member DSC community.
  • Designed ML competition frameworks powering 100+ autonomous agents and 32k+ real-time actions.

VisitPittsburgh Online Sentiment Project — CMU DSC

  • Built an automated data pipeline collecting 600k+ conversations to quantify perception gaps across five tourism pillars.
  • Delivered an analytics dashboard with time-series and LLM-assisted analysis enabling data-driven marketing decisions.
  • Led a six-member team, coordinating development and client communication to deliver a fully automated analytics system.

Skills & Interests

Technical Skills
C, Go, Java, JavaScript, Python, R, Ruby, SQL
Tools & Frameworks
AWS, CSS, Docker, Excel, Figma, Git, Google BigQuery, HTML, Keras, Matplotlib, MLFlow, MongoDB, numpy, OpenCV, pandas, PostgreSQL, PowerPoint, PyTorch, React, seaborn, scikit-learn, Tableau, Tensorflow
Interests
Basketball, Cooking, Film Photography, Football, Live Music, Piano, Swimming

one page · built in LaTeX · say hey