MSc Big Data Science & Technology (Distinction). Building NLP pipelines, machine learning models, and analytics dashboards that drive decisions — not just reports.
From exploratory analysis to production-grade ML — I bridge the gap between raw data and real business value.
Topic modelling with LDA and BERTopic, sentiment analysis, text classification, and fine-tuning transformer-based LLMs for domain-specific tasks.
Power BI dashboards with advanced DAX, Tableau visualisations, and self-service analytics systems that give stakeholders real-time clarity.
End-to-end ML pipelines using Python, Scikit-learn, TensorFlow, and PyTorch — from feature engineering to model deployment on AWS and GCP.
Relational and cloud data modelling with PostgreSQL and BigQuery. Writing efficient queries and designing schemas that scale with your organisation.
Web and product analytics using GA4, behavioural data modelling, and funnel analysis — turning user events into strategic product decisions.
Translating complex models into plain language. Presenting findings to executive audiences, writing technical documentation, and enabling data-literate teams.
I'm Immanuel Obani — a Data Scientist and Business Analyst based in Bradford, UK. I hold an MSc in Big Data Science & Technology with Distinction from the University of Bradford and a Google Advanced Data Analytics certification.
My work spans machine learning, NLP, cloud data platforms, and business intelligence. I've delivered data solutions at organisations including TiiQu UK, Afrikindness UK, and Spaceorbs Enterprise — always focused on insight that drives action.
View GitHub ProfileA practical comparison of topic modelling approaches — and when to choose contextual embeddings over probabilistic models.
Read ArticleFrom DAX to design — the principles behind dashboards that get opened every Monday morning, not just at quarter-end.
Read ArticleDeploying a Scikit-learn pipeline from notebook to BigQuery to production — without the DevOps headache.
Read ArticleWhether you're looking for a data scientist, need a senior analyst, or want to discuss a project — I'd love to hear from you.