Michael T.
Data Scientist Engineer @Aqua Catalysis
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WORK HISTORY
Data Scientist Engineer @Aqua Catalysis
Manchester, GB
Redesigning database schemas in MySQL, ensuring data integrity and optimised performance forthe Academia Intelligence platform- Applying machine learning for experimental optimisation, including predictive modelling forcompound analysis and experiment outcome forecasting- Led a cross-functional development team in deploying and managing an analytics platform,coordinating between data scientists, developers, and business stakeholders to deliver data-driven solutions for lab scientists.
EDUCATION
The University of Manchester
Data Science (Computer Science Data Informatics), Computer Science
Ahmadu Bello University
Bachelor of Engineering (BEng), Electrical Engineering, Computer, Telecommunications
ABOUT MICHAEL T.
Every great insight begins with clean data, and I build the systems that make that possible. As a data professional, I am passionate about building systems that make data not just useful, but transformative, across domains; E-commerce, finance, and healthcare. My journey blends data science with data engineering, machine learning, and intelligent software design, anchored by a deep curiosity about how technology can scale impact in society. I’ve built end-to-end systems spanning ETL/ELT pipelines, MLOps, AI agents, and user-facing applications. My work includes developing Cleanlify, a prototype for automating cleaning of research data, which complements my interest in NLP, LLM and applied AI as I explore how intelligent agents can assist in data preparation.I’m open to global opportunities and collaboration in the Data Space, AI/ML, Software, or Applied Research, where I can contribute to solutions that push data beyond analysis, into fuelling intelligent Systems.
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