Data Scientist | Production ML Engineer
8 years of experience at the intersection of Data Science and Business Strategy.
- Currently building production ML systems and advanced analytics projects
- MS Data Science + AWS Certified Data Engineer + Google Advanced Data Analytics
- Based in Colorado
- Seeking Senior Data Scientist / ML Engineer roles
What sets me apart:
My background isn't just in code; it's in solving mission-critical challenges under tight consulting timelines. Having spent nearly a decade in consulting, I understand that the best algorithm is useless if it doesn't drive value or if stakeholders can't understand it. Expert in building production-grade predictive models and automated data pipelines that bridge the gap between complex business strategy and scalable technical execution.
HYPERION is a sophisticated machine learning platform designed to simulate and optimize autonomous drone swarms for the detection, tracking, and interception of hypersonic threats in aerospace and defense (A&D) scenarios. The core idea revolves around leveraging Multi-Agent Reinforcement Learning (MARL) to enable decentralized coordination among UAVs (unmanned aerial vehicles) in high-stakes, dynamic environments where traditional rule-based systems fall short due to the speed (Mach 5+) and unpredictability of hypersonic vehicles.
- Key Features Multi-Agent Reinforcement Learning, Advanced Sensor Fusion, Realistic Physics Simulation, End-to-end Data Pipe Line, Interactive Dashboard, Comprehensive Metrics
CONSTELLATION is a LEO satellite fleet health management ML platform using real ISS telemetry from NASA's public Lightstreamer to demonstrate predictive maintenance, anomaly detection, and operational support capabilities.
- Key Features Real-time anomaly detection, Degradation forecasting, Survival analysis for component failures, Fault diagnosis and classification, Optimized maintenance scheduling, Operations-style monitoring dashboard
SENTINEL is an advanced multi-intelligence fusion ML system designed for Aerospace & Defense applications, combining Overhead Persistent Infrared (OPIR) thermal detection with Radio Frequency (RF) geolocation for real-time threat detection and tracking. Demonstrating expertise in sensor fusion, geolocation algorithms, and multi-sensor target tracking.
- Highlights: Multi-sensor Fusion, 1D Convolutional Neural Network, TDOA/FDOA algorithms, Kalman filter tracking
- Business Value: Real-time event detection & classification, GDOP Monitoring, Uncertainty qualification.
MERIDIAN is a comprehensive Investment portfolio optimization system that demonstrates institutional-quality quantitative finance capabilities and Machine Learning implementation.
- Key Features The system combines multi-source market data acquisition, regime-conditional optimization, realistic transaction cost modeling, and an interactive decision support dashboard.
- Business Value: Unlike academic portfolio projects that optimize once and show a backtest, MERIDIAN implements production-level thinking with regime detection, transaction costs, turnover constraints, and explainable recommendations through an interactive dashboard.
GAIA - Natural Disaster Risk Assesment: GAIA is data-rich multi-hazard risk assessment platform designed to aggregate historical data from USGS (Eartquakes), NASA Firms (Wildfires), and NOAA (Hurricane & Tornado) to calculate a comprehensive risk exposure composite for a geographic region. GAIA provides the risk data that many finacial service companies depend on to make informed business decisions.
- Highlights: Multi-source API integration, Composite Risk Algorithm, Geographic/Spatial analysis, Interactive Dashboard
- Business Value: Portfolio risk assesment detailing elevated risk exposure for real estate and insurance industries
CERBERUS is a real-time Fraud Detection platform for the financial service industry. CERBERUS goes beyond just analyzing and predicting fraudulent transactions - the platform implements Machine Learning to weigh the net finacial implications between a False Negative detection and a False Positive detection. CERBERUS model aims to optimize the balance between net business benefit and customer friction.
- Highlights: Cost-function optimization, Model tracks drift, performance metrics, and feature importance. Sub-100ms API latency, Interactive monitoring dashboard.
- Business Value: Financial institutions lose billions annually to credit card fraud, but aggressive fraud detection creates friction for legitimate customers. This system addresses those critical challenges:
CIPHER is an advanced Marketing Attribution platform, implementing Causal Inference to answer the fundamental question: "What would have happend WITHOUT this marketing channel". Companies waste billions on marketing channels that don't actually drive incremental revenue. CIPHER demonstrates how to measure true causal effects using advanced statistical methods when A/B testing isn't feasible to measure true incremental marketing impact.
- Highlights: Propensity score matching, difference-in-differences, Uplift Modeling, and CATE estimation
- Business Value: ROI optimization, budget allocation, segment targeting
- MS Data Science - In Progress
- AWS Certified Data Engineer – Associate
- Google Advanced Data Analytics Professional Certificate
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Data Science | ML Engineering
