About Me
Hi, I’m Husayn. I’m a Senior Data Scientist and Georgia Tech Ph.D. with more than ten years of experience turning messy data into actionable systems through predictive modeling, generative AI, and geospatial analytics.
I’ve built models, data pipelines, AI applications, and analytical tools that serve fields including environmental science, education, public health, engineering, and business operations. My projects range from satellite-based water-quality monitoring and climate analytics to computer vision and agentic RAG systems.
My foundation in civil engineering and hydrology taught me to look beyond isolated datasets and approach problems as interconnected systems. I bring this holistic perspective to building intelligent tools that can positively impact people, communities, the environment, and the way important decisions are made.
If you’re working on a problem where machine learning, AI, or geospatial analytics can make a meaningful difference, I’d be glad to connect.
Skills
Certifications
Portfolio
Remote Sensing & ML for Water Quality Assessment at Lake Lanier
Satellite-based ML workflow to monitor chlorophyll-a and assess water quality compliance for Lake Lanier.
Teacher Support Studio: Student Proficiency Prediction & AI Teacher Assistant
Predicts next-practice success from longitudinal learning data and turns explainable estimates into grounded, teacher-facing guidance.
Autodesk Agentic RAG Chatbot
Evidence-grounded assistant for Autodesk product and workflow questions using hybrid retrieval, web verification, reranking, and evaluation.
Cobb County Building & Fire Code Agentic RAG Assistant
RAG-powered assistant for querying and retrieving information from Cobb County building and fire codes.
Telco Customer Churn Prediction & Retention Targeting System
Production-oriented churn prediction workflow with XGBoost, FastAPI, Streamlit, MLflow, and retention-value targeting.
AI-Automated Lead Generation Pipeline for Engineering Consultancy (RAG + Web Data)
RAG-powered pipeline to mine regulatory and web data, rank prospects, and surface qualified engineering leads.
AI-Powered Retinal Disease Detection with Deep Learning & Computer Vision Pipeline
TensorFlow-based CNN that classifies retinal images into disease categories to support early detection.
Multi-Agent LLM System for Automated Scientific Literature Review
Full-stack research automation app that searches Scopus, verifies DOIs, saves papers to Zotero, and exports cited review documents.
Voice-AI Customer Service Agent for Medical Lab Appointments
Voice AI system to automate medical lab appointment scheduling, rescheduling, and support calls.
Unsupervised Risk Modeling with K-Means on AMI Smart Meter Data
Segmented smart meters using k-means clustering on high-frequency AMI power-quality data to identify behavioral patterns linked to grid reliability and outage risk.
Public Health A/B Testing & Predictive Analytics (XGBoost)
Application of A/B testing and machine learning (XGBoost) to measure message impact and target individuals most likely to schedule appointments, with SHAP-based explainability.
Climate-Informed Crop Yield & Irrigation Projections for the ACF River Basin
Modeled climate-adjusted crop yields and irrigation demand to support long-term agricultural and water planning.
Continental-Scale Climate Bias-Correction, Projection, & Interactive Dashboard
Built bias-corrected climate projections and an interactive dashboard to explore multi-model climate futures.
SOCO 48-Hour Energy Demand Forecasting
End-to-end ML pipeline for forecasting hourly electricity demand using 10+ years of grid and weather data, achieving high-accuracy 48-hour load predictions.
Professional Experience
Senior Data Scientist (Part-Time)
- Developed an XGBoost lead-scoring system using weather, permit, valuation, and geospatial data, projecting a 12% revenue lift (~$450K per 600 leads) and improving precision-recall performance by 3.3x over a heuristic baseline. Added Platt calibration and SHAP for explainable per-lead insights.
- Built an explainable RAG platform to match project requirements with qualified engineering firms, indexing 7K+ public profiles into ~70K retrieval documents using PostgreSQL/pgvector, embeddings, hybrid search, RRF, and cross-encoder reranking.
- Built an AI-powered lead enrichment pipeline (Python, Google Gemini, Google Places API) to surface high-value industrial prospects for an engineering consultancy, replacing manual prospecting with a scored outreach list and accelerating lead qualification.
Senior Data Scientist (Research Engineer)
- Built a satellite-based ML pipeline using Sentinel-2 and Google Earth Engine to estimate chlorophyll-a concentrations and detect harmful algal blooms, enabling near-real-time water-quality monitoring and operational decision support for Gwinnett County Department of Water Resources.
- Developed bias-correction and spatiotemporal downscaling algorithms for 16 climate models across two emissions scenarios, producing 4-km daily climate projections while preserving temperature-precipitation correlations. Integrated climate, soil, and crop data into ML models to predict crop yield and irrigation demand and quantify long-range agricultural risks across the ACF River Basin.
- Built Dockerized geospatial ML workflows, supporting reproducible deployment of environmental monitoring and predictive modeling pipelines.
- Oversaw $400K+ in annual federal and state research funding as Assistant Director of the Georgia Water Resources Institute.
- Mentored graduate researchers in data science and ML methods, supporting publications and conference presentations.
Engineering Consultant (Part-Time)
- Developed physics and data-driven system models and AI-Ops pipelines for real-time AWS IoT sensor analytics, improving engineering efficiency and reducing time-to-market by 20%.
Data Scientist (Graduate Research Assistant)
- Built and validated ML models to reconstruct missing environmental data, improving accuracy and spatial consistency for hydrologic and climate analyses.
Education
Ph.D., Civil Engineering
Master of Science, Civil Engineering
Bachelor of Science, Civil Engineering
Contact
Interested in connecting or discussing an opportunity? Send me a message and I’ll get back to you.