Gazali Agboola
AI Engineer • Machine Learning Engineer • Data Scientist • GeoAI Researcher
Professional Summary
Ph.D. Candidate in Data Science & Analytics (GPA: 3.95/4.0) with hands-on experience building machine learning and GeoAI solutions for disaster risk assessment, operational decision support, and customer/credit analytics. Experienced in developing end-to-end pipelines—from data engineering and feature building to model training (deep learning + classical ML), explainability, and deployment (Streamlit/FastAPI, cloud, CI/CD). Strong background in geospatial analytics and remote sensing, with a focus on transforming large, multi-source datasets into reliable, insight-driven products.
Experience
Data Science Research Assistant
North Carolina A&T State University
Aug 2022 – Present | Greensboro, NC
- • Designed and deployed deep learning models for disaster risk assessment, achieving strong performance (e.g., 93% F1-score) using transformer-based vision architectures.
- • Built an Agentic AI chatbot for disaster vulnerability analysis by integrating OpenAI APIs, large-scale geospatial datasets, and Streamlit for decision support and rapid insight retrieval.
- • Developed ML pipelines and ensemble strategies to improve landslide susceptibility prediction (AUC-ROC up to 99%+).
- • Collaborated with cross-functional teams on monitoring concepts for real-time alerts and analysis under uncertainty.
Applied AI Operations Analyst
Toshiba Global Commerce Solutions
Jan 2026 – Aug 2026 | Durham, NC (Onsite / Hybrid)
- • Build and automate operational KPI reporting by cleaning, validating, and transforming multi-source data into analysis-ready tables.
- • Develop forecasting and performance-tracking dashboards to support operational planning and decision-making.
Selected Projects
Disaster Risk Agent (GeoAI + LLMs)
Agentic assistant integrating geospatial datasets with LLM-driven retrieval for real-time vulnerability analysis.
Sentiment Analysis with Transformers
Fine-tuned Hugging Face models to extract insights from customer feedback and generate actionable summaries.
Credit Card Fraud Detection
Built anomaly detection workflows to flag suspicious behavior and reduce false positives.
Technical Skills
Languages & Core
- • Python, R, SQL (Hive)
- • JavaScript / TypeScript
- • Data Structures & Algorithms
- • Statistical Computing & EDA
ML & AI
- • Scikit-learn, PyTorch, TensorFlow
- • NLP, Transformers, LLM Fine-tuning
- • Computer Vision (CNNs, ViTs)
- • Vector DBs, RAG, Agentic Workflows
Geospatial / GeoAI
- • GeoPandas, Rasterio, Shapely, Folium
- • Remote Sensing + Raster Analytics (DEM/terrain)
- • ArcGIS / Web Mapping & Dashboards
- • PostGIS / Spatial SQL, GeoJSON, KML
Cloud, Data & DevOps
- • AWS (S3, Lambda, CloudFront, API Gateway)
- • Docker, Terraform (IaC), CI/CD
- • BigQuery, Snowflake, PostgreSQL
- • FastAPI, Next.js, React, Streamlit
Education
Ph.D. — Data Science & Analytics
North Carolina A&T State University
Expected: Dec 2026 | GPA: 3.95/4.0
Focus: Machine Learning, GeoAI, Disaster Risk Assessment, Predictive Modeling, Applied Analytics
University of Ilorin
M.S. & B.S. — Mathematics
- • M.S. — Dec 2015 | GPA: 3.66/4.0
- • B.S. — Jul 2013 | GPA: 3.54/4.0
Awards, Certifications & Leadership
- • HP Future of Work Academy (FOWA) Winner
- • North Carolina ArcGIS Users’ Graduate Academic Excellence Award
- • Thermo Fisher Scientific Innovation Challenge — First Position
- • Certifications: DeepLearning.AI Deep Learning Specialization; IBM Data Analyst; Google BI; NLP in Python; Financial Engineering & Risk Management
- • Leadership: President, ASPRS NCAT Chapter; Mentor Collective Ambassador