Cameron McNamara

[email protected] (925) 474-7573 LinkedIn Seattle, WA Download PDF

Education

University of San Diego

San Diego, CA · Expected May 2026

BA Computer Science (Data Science & AI) · BBA Business Analytics

GPA: 3.98 · Presidential Merit Scholarship · Dean's List (All Semesters)

Coursework: Predictive Analytics, Data Visualization, Data Structures, Computer Systems, OOP, Modeling

Universidad Pontificia Comillas

Madrid, Spain · Fall 2024

Semester Study Abroad

Professional Experience

BlackRock

Seattle, WA · Starting August 2026

Incoming Analyst

Cisco Systems

San Jose, CA · May–August 2025

Data Analyst Intern

  • Designed and implemented an automated market data pipeline using TypeScript, replacing manual workflows and reducing processing time by ~90%
  • Led logistics analysis using machine learning, causal inference, and predictive modeling to identify service delay drivers; achieved 82% ensemble model accuracy
  • Developed Python/Tableau dashboards for TAM, market share, and macroeconomic trends to improve forecasting accuracy and strategic decisions

Advanced Micro Devices (AMD)

Santa Clara, CA · June–August 2024

Integrated Planning & Strategy Analytics Intern

  • Monitored the Ryzen AI 8040 CPU Series launch leveraging sales forecasts, OEM consumption, POS data, and inventory analytics to drive overall strategy
  • Conducted TAM/SAM analysis and marketing analytics including Share of Voice and Share of Shelf to evaluate market positioning
  • Performed competitive analysis benchmarking the Ryzen 8040 Series against key competitors to uncover global market trends

University of San Diego Men's Baseball

San Diego, CA · Feb 2023–Jan 2025

Analytics Manager

  • Collected, compiled, and analyzed personal and team statistics for the USD D1 Baseball Team
  • Built an R/ShinyApp web app to analyze and display pitching data from multiple game files
  • Used Batts, Synergy, TruMedia, Trackman, and Rapsodo across 40+ games to scout opponents

Projects

InsightOS — ML & Causal Analysis Platform

August 2025
  • Built a multipage FastAPI app automating dataset exploration with SHAP feature importance, causal inference, and ML models

Financial Sentiment Analysis — Deep Learning (PyTorch)

June 2025
  • Fine-tuned a ULMFiT model to classify sentiment of financial news and earnings transcripts for automated stock risk analysis

Unix Shell & Memory Simulator — C

March 2025
  • Built a Unix shell and multi-stage memory simulator implementing process control, heap allocation, DRAM timing, and LRU cache

Consult For America Case Competition — Capital One

April 2024
  • Used Bloomberg Terminal to conduct finance analysis identifying AI opportunities and risks for Capital One

Leadership & Extracurricular

Delta Sigma Pi — Lambda Pi Chapter

San Diego, CA

VP of Chapter Operations · Aug 2025–Present

  • Built a React web app to streamline chapter operations with modular JSX components and state handling

VP of Scholarships and Awards · Dec 2023–May 2024

  • Led award application process, coordinated recognition programs, and promoted academic achievement

Data Analytics Club · Mariachi Program Co-founder & Instructor · ACM · Student International Business Council · USD Club Golf · JV & Varsity Tennis Captain · Boys Team Charity · FHS Engineering Academy

Additional Information

Skills
Python · Java · R · TypeScript · SQL · C++ · Tableau · PowerBI · Machine Learning · Automation
Interests
Boston Red Sox & Celtics · Golf · Drones · Sabermetrics · 3D Printing · Skiing · Weightlifting · Formula 1