Hi, I'm Ugonna Nwani
AI/ML Engineer | Data Scientist | Data Analyst
I build intelligent, data-driven, and user-friendly software systems across artificial intelligence, analytics, and modern web technologies.
Featured Projects
A curated selection of my recent works in AI, computer vision, data analytics, and software engineering.
Edu-Pathfinder
2026A secure, multi-agent educational assistant that creates personalized study plans, retrieves free learning resources, and matches students with free tutoring.
Driver Drowsiness Detection System
2025Real-time computer vision system that monitors driver fatigue using dlib's facial landmark estimation, eye-aspect-ratio (EAR), and CNN classifiers.
Gantt Chart Generator
2024A Streamlit web app that helps students quickly create customizable Gantt charts for project timelines and presentations.
Skills & Technologies
A breakdown of my technical toolkit, methodologies, and core competencies.
Programming
AI & Machine Learning
Data & Cloud
Web Development
Work Experience
A summary of my professional roles, contract history, and technical achievements.
Data Scientist
Busha
- Responded to cross-departmental data requests by delivering analytical outputs within defined turnaround times, supporting 10+ departments and helping reduce data request response delays by approximately 30-40%, thereby improving operational efficiency and decision-making speed.
- Rebuilt and standardized internal dashboards across departments, creating a centralized real-time analytics platform used by 50+ internal users, which reduced repetitive data requests by around 40-50% and improved organization-wide access to key metrics.
AI Engineer Extern
Extern | Pfizer
- Built an end-to-end document intelligence pipeline for pharmaceutical supply-chain documents, using Python-based PDF parsing, OCR preprocessing, and retrieval-augmented generation to extract useful information from complex vendor document packets.
- Developed a metadata-aware RAG system that classified document sections, chunked content with page-level metadata, generated embeddings, routed queries to the most relevant document type, and returned source-backed answers with relevance scores and citations.
- Evaluated multiple document processing approaches, including OCR tools, chunking strategies, retrieval performance, and open-source LLMs such as Mistral and Phi-2, then built a Gradio demo interface to showcase PDF upload, natural-language Q&A, and traceable document retrieval.
About Me
Who I am, what drives me, and my educational qualifications.
Ugonna Nwani
Lagos, Nigeria
Bridging advanced ML concepts and user interfaces.
I am a Computer Engineering graduate interested in artificial intelligence, computer vision, data science, and software engineering. I enjoy building practical systems that connect machine learning research with real-world use cases, from visual intelligence applications to data products and AI-powered tools.
I specialize in parsing unstructured data formats, training deep learning models for computer vision benchmarks, and wrapping models inside secure, fast API routes. I enjoy technical writing, sharing case studies, and building user interfaces.
Let's Build Something Together
Have a question, project idea, or just want to connect? Send me an email or fill out the contact form.