AI & Data Analyst | Applied AI | Predictive Analytics | Data Products
I work at the intersection of data, artificial intelligence, and real-world problem solving. My focus is on building practical, responsible solutions that turn complex information into useful decisions.
I completed an MSc in Artificial Intelligence & Data Science with Distinction at the University of Wolverhampton, where my work included applied AI, machine learning, data analysis, and Retrieval-Augmented Generation (RAG).
- Data analysis and visualisation
- Applied AI and machine learning
- Generative AI and Retrieval-Augmented Generation (RAG)
- Predictive analytics
- Python-based AI and data applications
- Responsible, human-centred AI
A hybrid retrieval system combining BM25, dense semantic retrieval, Reciprocal Rank Fusion, and grounded generation to support customer queries using an SME's technical knowledge base.
A RAG-based assistant that answers licensing questions using official England and Wales licensing sources, with grounded responses and citations.
Languages & Data: Python, SQL, R, Excel
Analytics & BI: Power BI, pandas
AI & ML: scikit-learn, Generative AI, RAG
Tools: Git, GitHub, Jupyter, VS Code, Streamlit
- Building and evaluating practical AI systems
- Improving AI and data products through real-world testing
- Contributing to open-source projects
- Writing and speaking about applied AI, data science, and responsible technology
- 💼 LinkedIn: https://www.linkedin.com/in/patricia-orji
- 📧 Email: Orjitrisha@gmail.com
I believe strong data science is not just about building models — it is about building useful decision systems around them.