Niko Barrett
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01 — About

A little about me.

I'm someone who enjoys both learning and doing, constantly exploring new ideas and finding meaningful ways to apply them in my life. I'm deeply passionate about finance and technology, specifically the potential they hold to improve people's lives through better products, smarter systems, and entirely new ways of thinking about the world.

At San Diego State, I've represented more than 10,700 students (over 25% of the student body) and 40+ registered student organizations through my roles as Executive Vice President of the Fowler College of Business Council and Vice President of Health and Wellness for the Interfraternity Council. More recently, I founded the Financial Optimization Group, a club dedicated to teaching the practical, real-world skills that aren't typically covered in the classroom but are often expected by employers.

Outside of academics and leadership, I value staying active. I enjoy running, weightlifting, and keeping to a disciplined routine. I also love spending time with family and friends. Lately, I've gotten into film. Some recent favorites include Se7en, Nightcrawler, and Enemy. I appreciate them for their unique storytelling, layered plots, and open-ended conclusions.

02 — Experience

Where I've worked.

JPMorganChase
Product Manager Intern
Plano, TX | Jun 2026 – Aug 2026
  • Data, Analytics & Technology Insights: Analyzed and validated 100,000+ rows spanning millions of forecasting outputs using Databricks, Sigma, and Snowflake from different time-series models by using statistical testing, regression, and machine learning to identify performance trends and deliver actionable recommendations and fixes.
  • Client Onboarding Services: Helped develop a unified knowledge base and agentic workflow using spec-driven development; built an interactive prototype, mapped workflows, researched technical solutions, and improved documentation and context files using Markdown and YAML.
Daimon AI
Growth Intern
San Diego, CA | Sep 2025 – Dec 2025
  • Led growth strategy and go-to-market execution at a $2M+ VC-backed AI consumer startup before and during its exit, conducting customer and user research that delivered direct, actionable insights to founders on product improvements.
  • Sourced 6 strategic partnerships across 4 hosted events reaching ~500 people, maintaining a detailed CRM of leads and partner contacts.
WeVote
Data & Analytics Intern
Remote | Mar 2025 – Aug 2025
  • Collaborated with a cross-functional team to identify a data collection bottleneck and developed a Python web-scraping script that automated data collection, verification, and publication, freeing the team to focus on analysis that informed UX improvements and contributed to a 12% increase in platform users.
Modern Woodmen of America
Finance Intern
Laguna Hills, CA | Jun 2025 – Jul 2025
  • Gained hands-on experience in personal financial planning by evaluating clients' financial goals, supporting the development of tailored strategies, and strengthening client relationships through clear communication, follow-ups, and personalized guidance.
Leadership
Financial Optimization Group
Head of Product
Jan 2026 – May 2026
  • Co-founded a FinTech club focused on connecting finance and technology; led the strategy, development, and deployment of student-built products.
  • Facilitated resume and LinkedIn workshops and provided members with practical guidance on securing internships and full-time opportunities.
Fowler College of Business Council
Executive Vice President
Apr 2025 - Apr 2026
  • Selected as 1 of 6 student leaders on the competitive council, representing 9,200+ students and 27 business organizations.
  • Facilitated communication between students and administration, collaborating with deans to shape college policies, academic programming, and student resources.
Interfraternity Council
VP of Health & Wellness
Apr 2024 – Apr 2025
  • Directly supervised 15 fraternities totaling 1,400+ students, focusing on health, wellness, and risk minimization.
  • Served on a 13-member board creating a direct pipeline between fraternity members and the university.
03 — Projects

Projects I've built.

Spring 2026

Polymarket Trading Bot

Personal Project

Polymarket is a decentralized prediction market platform where users trade on the outcomes of real-world events, from elections and economic data to sports and global news. Rather than traditional betting, users buy and sell shares in outcomes, with prices reflecting the market's real-time probability estimates.

I built a fully automated trade-mirroring bot that monitors any target wallet on Polymarket and instantly replicates their positions in real time. It is designed to track sharp bettors and market makers — participants who consistently beat the market or hold deep insight into true probabilities. By mirroring these wallets, the bot gains exposure to their edge without requiring any manual analysis.

It features duplicate position detection to prevent redundant entries, direct integration with Polymarket's CLOB and activity APIs, and Fill-or-Kill order logic to ensure clean execution at the current market price.

Simple Setup
  • Configure bet size per trade
  • Set any target wallet to copy
  • Toggle dry-run mode to preview trades before going live
  • Adjust signature type for different wallet types
  • Control how many recent trades to scan per cycle
Run Autonomously (24/7)
  • Deploy on AWS EC2 (1 year free for students)
  • Host on eu-west-1 (Dublin), optimal latency to Polymarket's London matching engine
  • Bypasses US geographic restrictions, running without interruption
View on GitHub
Fall 2025

Elum Designs: Predictive Analytics Consulting Project

San Diego State University

I helped develop a predictive analytics proposal for Elum Designs, Inc., a seasonal stationery and consumer goods company that partners with major retailers including Ross, HomeGoods, and Macy's.

I collaborated directly with Elum Designs' CEO and cross-functional teams across Logistics, Design, and Product to gather requirements and evaluate existing workflows. Our analysis surfaced three critical challenges: nearly 50% of designs never reach production, design cycles average 16 weeks (creating significant risk for time-sensitive seasonal launches), and buyer feedback and design data are fragmented across multiple SaaS tools and systems.

To close these gaps, I proposed a cloud-based analytics solution leveraging Google Cloud Vision, Qualtrics CoreXM, and Google BigQuery to predict design success earlier in the lifecycle. This approach enables data-driven decisions sooner, reduces wasted creative effort, and sharpens operational efficiency across the seasonal cycle.

↑0%
Increase in design selection rates
↓0%
Reduction in design-cycle time
↓0%
Decrease in wasted creative labor
0% ROI
12-month payback period
Read the Full Proposal
04 — Skills

Skills.

Technical

Python SQL APIs SDLC UI / UX FX
AI / LLMs & Generative AI Machine Learning MCPs
Financial Modeling Markets (ECM, DCM) Cloud RAG

Professional

Communication Stakeholder Management
Strategic Thinking Problem Solving Collaboration
Adaptability EQ Public Speaking

Software

Microsoft Office 365 Jira Notion Figma VS Code Databricks Snowflake Sigma AWS Claude Code Codex
05 — Education

Education.

San Diego State University
B.S. Management Information Systems, Minor in Finance
GPA 3.75 Expected 2027
Redmond High School
Redmond, WA
GPA 4.14 Graduated 2023
06 — Contact

Let's connect.

Always open to conversations about tech, finance, and early-career opportunities.

Prefer to send a message directly? Fill out the form below and it'll come straight to my inbox.