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

Transitioning from 8 years of Fortune 500 consulting to data science roles, with a focus on production-grade ML systems and business-driven analytics.


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: I combine deep technical ML skills with 8 years of Fortune 500 client experience. I don't just build models—I build production systems that deliver measurable business impact.


Portfolio Projects

CONSTELLATION - UNDER DEVELOPMENT

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

Visual Studio Code Python CUDA Google Colab Vega-Altair PyArrow fastparquet Seaborn LifeLines PuLP TensorFlow PyTorch NumPy Pandas XGBoost Streamlit AWS

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

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

  • 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.

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

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

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

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

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

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

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

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

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

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