
Hi, I’m Aliyu — Data Scientist specializing in AI & Machine Learning
Building intelligent systems at the intersection of AI, data, and real-world impact.
About Me
I’m a Data Scientist and AI Researcher based in Baltimore, MD. I hold a Bachelor’s in Analytics (Data Analytics) and a Master’s in Advanced Computing, specializing in machine learning, statistical modeling, and intelligent system design. My work spans the complete data science pipeline from data acquisition, preprocessing, and feature engineering to model training, evaluation, and deployment with applications across public safety, healthcare, Agruculture, E-commerce, and predictive analytics.
I design and implement intelligent, data-driven systems across the broader AI landscape, spanning deep learning architectures, computer vision pipelines, and natural language processing. This includes integrating statistical inference, predictive modeling, and generative AI to extract actionable insights from complex, high-dimensional datasets and translate raw data into production-ready, evidence-based decision systems.
5+
Years in Data & AI
20+
Projects Completed
Skills
Programming Languages: Python | Java | R | SQL | C++ | C
Tools & Platforms: AWS | Power BI | Tableau | Git | Google Colab, Apache Spark
Libraries & Frameworks: PyTorch | TensorFlow | Scikit-learn | Pandas | NumPy | Matplotlib | Seaborn | Ultralytics
Research Interests
• Machine Learning & Predictive Analytics
• Computer Vision & Image Understanding
• Natural Language Processing & LLMs
• Deep Learning Architectures
• Data-Driven Decision Systems
• Quantum Computing
Research & Publications
-
Master’s Thesis: An End-to-End AI Surveillance System Using Multi-Source Data Fusion and Visual Intelligence for Public Safety
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Kim VanExel, Kevin Quintero, Aliyu Bello Aliyu, Jin Guo, Guobin Xu, Xing Liu, and Lin Deng. Distributed High-Performance Computing for Accelerating Image Classification Workloads. Accepted at ICCCN 2026.
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Aliyu Bello Aliyu, Jin Guo, Guobin Xu, and Lin Deng. An AI Surveillance Framework with Multi-Source Fusion and Temporal Validation for Public Safety. Accepted at SERA 2026.
Projects
01

AI Powered Surveillance System
An end-to-end AI-powered surveillance system for public safety monitoring with multi-source data fusion, temporal validation, and vision-language scene interpretation.
02
Teamwork Success Prediction
Developed machine learning models to predict project milestone success using five datasets. Applied data preprocessing, statistical evaluation, hyperparameter tuning, and LIME for model interpretability
03
AI-Powered Crop Protection
An AI-powered crop monitoring platform that uses drone imagery and deep learning to detect plant diseases, pests, and nutrient deficiencies in real time, helping farmers prevent losses through actionable insights.
04
Predictive Analysis for Hazardous Material Transportation Incidents
Applied geospatial data analysis and machine learning techniques to transportation incident datasets, leveraging Decision Tree classification to identify high-risk patterns, optimize safety assessment, and support data-driven logistics recommendations.
Professional Experience
JUXTOPIA (Jun 2025 – Aug 2025)
Software Engineer Apprentice
Contributed to implementing AI algorithms for Human Activity Recognition (HAR) using DeepLearning4J (DL4J) and LSTM networks. Trained HAR models with JiBand wearable data, used OpenSim for sensor visualization, and supported the development of AI-driven e-training systems.
Education
Degrees
Master of Science in Advanced Computing
Morgan State University, Baltimore, MD, USA | 2024 – 2026
GPA: 3.8 / 4.0
Bachelor of Science in Analytics (Data Analytics Specialization)
University of Prince Edward Island, Charlottetown, PEI, Canada | 2019 – 2023
Certifications
• IBM Generative AI Engineering
• AWS Academy Graduate
Leadership & Extracurriculars
Services & Outreach
- Judge at the 31st Annual Undergraduate & Graduate Research Symposium at Morgan State University
- Reviewer ICCCN 2026
- International model united nations (IMUN)
Teaching & Mentoring
- Introduction to Computing (COSC 110) Morgan State University | Spring 2025, Fall 2025, Spring 2026
- Tutoring in Math, Comp. Sci (MCS-3050) UPEI | Fall 2023