Skip to content
View Michael-Gurule's full-sized avatar
  • Denver, Colorado, USA

Block or report Michael-Gurule

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
michael-gurule/README.md

Hi, I'm Michael Gurule

Data Scientist | Former Strategy Consultant | Production ML Engineer Senior Data Scientist & Machine Learning Engineer | 8 years of experience at the intersection of Data Science and Business Strategy.


About Me

  • Currently building production ML systems and advanced analytics projects
  • MS Data Science + AWS Certified Data Engineer + Google Advanced Data Analytics
  • Former Senior Strategy Consultant at Sedgwick and JS Held
  • 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.


Portfolio Projects

CONSTELLATION - UNDER DEVELOPMENT

A LEO satellite fleet health management platform using real ISS telemetry to demonstrate predictive maintenance, anomaly detection, and operational decision support capabilities.

CONSTELLATION monitors the International Space Station's attitude control and communications subsystems using real-time telemetry from NASA's public Lightstreamer feed. The system provides:

  • Real-time anomaly detection
  • Degradation forecasting
  • Survival analysis for component failures
  • Fault diagnosis and classification
  • Optimized maintenance scheduling
  • Operations-style monitoring dashboard

Advanced multi-intelligence fusion system combining Overhead Persistent Infrared (OPIR) thermal detection with Radio Frequency (RF) geolocation for real-time threat detection and 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.

Visual Studio Code Python CUDA Google Colab NumPy Pandas SciPy PyTorch Folium FastAPI Uvicorn Streamlit Plotly

Real-time multi-hazard risk assessment integrating USGS, NASA, and NOAA data sources.

  • Highlights: Multi-source API integration, geographic risk scoring, production error handling
  • Business Value: Portfolio risk assessment for real estate and insurance industries

Visual Studio Code Python Google Colab Pydantic GeoPandas Folium Uvicorn FastAPI Scikit-learn NumPy Pandas

Production ML pipeline with cost-optimized decision thresholds delivering $474K monthly savings.

  • Highlights: Custom cost functions, sub-100ms API latency, interactive monitoring
  • Business Value: Optimized precision-recall tradeoff based on real business costs

Visual Studio Code Python Google Colab Scikit-learn NumPy Pandas SciPy Plotly Uvicorn Streamlit

Advanced causal methods (PSM, DiD, Uplift) to measure true incremental marketing impact.

  • Highlights: Propensity score matching, difference-in-differences, CATE estimation
  • Business Value: Separates correlation from causation in marketing ROI analysis

Visual Studio Code Python Google Colab Scikit-learn NumPy Pandas SciPy Plotly XGBoost Streamlit


Certifications

  • MS Data Science - In Progress
  • AWS Certified Data Engineer – Associate
  • Google Advanced Data Analytics Professional Certificate

Let's Connect

LinkedIn Medium Gmail


From michael-gurule

Pinned Loading

  1. fraud-detection-system fraud-detection-system Public

    A production-ready machine learning system for detecting credit card fraud in real-time with sub-100ms latency. Built with XGBoost, FastAPI, and Streamlit.

    Python 1

  2. marketing-attribution-causal-inference marketing-attribution-causal-inference Public

    Causal inference system for marketing attribution using PSM, DiD, and uplift modeling with interactive Streamlit dashboard

    Python 1

  3. disaster-risk-platform disaster-risk-platform Public

    A production-grade data pipeline that ingests real-time data from government APIs (USGS, NASA, NOAA) to assess natural disaster risk across earthquakes, wildfires, and severe weather.

    Python 1

  4. sentinel-multi-intel-platform sentinel-multi-intel-platform Public

    Advanced multi-intelligence fusion system combining Overhead Persistent Infrared (OPIR) thermal detection with Radio Frequency (RF) geolocation for real-time threat detection and tracking

    Python 1