David G. Shatsky

Data Science grad and startup co-founder with experience in data analytics, capital markets, and fintech

650-867-7345shatsky.david@gmail.comNew York, NYLinkedInGitHub
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Projects

Weather Prediction Trading System

Shipped automated trading system for climate-based prediction markets: identified edge via probability-calibrated random forest predictions, built risk controls, and deployed on live capital. Currently running profitably (61% win rate) with zero manual intervention for 2+ months

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Competitor Intelligence API

Built competitor intelligence API for startup validation. Engineered intelligent query refinement for ambiguous product concepts, structured competitor extraction with tiered classification, and automated source/company verification. Delivers actionable pitch-ready reports in <30 seconds. Used by Lokin users and available as a standalone tool

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Experience

Lokin

—Co-Founder

Aug 2024 – Present

  • •Led product strategy for an AI-native platform that automates core startup processes for students; grew to 500+ users with 15+ teams formed in the first 3 months of launch
  • •Identified onboarding friction through embedded feedback channels, usage analytics, and user research; redesigned profile creation flows which improved profile completion from 3% to 50% of signups
  • •Coordinated engineering and marketing teams to ship end-to-end features: chatbot with RAG over campus resources, competitor intelligence API, and teammate matching algorithm

TP ICAP

—FX Options Junior Broker; Summer Analyst

New York, NY · Jul 2025 – Present; Jun – Aug 2025

  • •Manage the creation, pricing, and execution of complex over-the-counter foreign exchange options strategies
  • •Built a volatility risk premium monitor tracking implied vs. realized vol and term structure shifts; originally a personal tool, now used desk-wide to identify volatility regime shifts
  • •Identified gaps in desk coverage for high-margin exotic options; trained in London with the firm's global exotics lead; now sole broker on desk pricing and quoting exotic structures to clients
  • •Partnered with product and dev teams to extend deal management system support for more complex option structures, 30% of manual tickets now auto-pass effectively reducing trade processing time

Abel Noser

—Data Analysis Intern

New York, NY · Jun – Aug 2023

  • •Delivered post-trade analytics to institutional clients across equities, FX, fixed income using Python and SQL
  • •Conducted migration of 1+ petabytes of data to Apache Cassandra, enhancing infrastructure scalability
  • •Designed and prototyped an anomaly detection system to flag potential insider trading; identified unusual stock price movements ahead of correlated ETF baskets using K-Means clustering

Education

University of Wisconsin-Madison

BA in Data Science, Economic Analytics Minor

Sep 2021 – May 2025 · GPA 3.6

Machine Learning / AIEconometricsStatistical ModelingDatabase DevelopmentLinear Algebra

Skills

Programming

PythonSQL (PostgreSQL, MySQL)NoSQL (Firebase, MongoDB)PostmanREST APIs

AI / ML

RAG pipelinesVector databasesEmbeddingsPredictive analyticsEnsemble models

Data & Product

Funnel analysisRetention modelingQA testingCross-functional collaboration

Hobbies

SoccerChessSurfingSkiingMountain bikingRock climbingPodcasts