Igbomezie M.

Full‑Stack Data Scientist with an MSc in Applied Data Science and hands‑on experience in ad hoc data‑driven projects and delivering scalable AI solutions across NLP, MLOps, and Cloud. Skilled in building and deploying data‑driven products from ideation to production, following standard SDLC processes. Passionate about leveraging AI for social impact and operational excellence.

🌱 Data Science and Analytics (Ad Hoc):
• Article and Publication review, Data Gathering (Web Scraping, Intelligent Extraction)
• Advanced EDA, Hypothesis Testing, Model Development (Supervised and Unsupervised)
• Time Series (ARIMA), and Statistical Learning, Evaluation and Validation.

🌱 Natural Language Processing:
• Prompt Engineering, LLM Fine‑Tuning (BERT, GPT)
• Sentiment and Topic Analysis, Name‑Entity Recognition, Summarization
• Chatbot Development, Speech‑to‑Text, and RAG‑based systems (LangChain, OpenAI, Anthropic, Gemini, etc.)
• Multi‑agent Development.

🌱 MLOps and Cloud Engineering:
• End‑to‑End Model Deployment using Docker and Kubernetes (GPU‑enabled)
• CI/CD (GitHub Actions, Shell Scripts, Makefiles), and monitoring
• Cloud Platforms: GCP (Compute Engine, Cloud SQL, Artifact Registry, Cloud Run, Vertex AI), AWS (EC2, RDS), Azure, and DigitalOcean.

🌱 Software and Systems Development:
• Software Architecture Design
• API and Microservice Development, Database Design
• Functional and Non‑Functional Testing (Unit, Integration, E2E, Latency), and Documentation

🌱 Big Data and Distributed Computing:
• Parallel and Distributed Computation (Apache Spark, Temporal), Large‑Scale Data Pipelines, and Workflow Optimization

Breaking down the solution for my clients in non-technical terms and carrying them along the building process are factors I take very seriously. Reach out to me, let us demystify that idea/milestone.