
I’m Theophilus Utobo, a Data Scientist passionate about transforming complex data into actionable insights that drive innovation and decision-making. With a strong foundation in Python, R, SQL, and advanced machine learning concepts, I specialize in data mining, modelling, and visualization to uncover meaningful patterns and solutions.
I’ve successfully applied my expertise to real-world projects, including customer segmentation for targeted marketing, anomaly detection in ship engine datasets, and credit risk analysis for personal loans. My ability to analyze large datasets, implement machine learning models, and present insights with clarity has consistently delivered value in diverse applications.
Currently advancing my knowledge through the prestigious Data Science with Machine Learning & AI Career Accelerator at the University of Cambridge, I’m committed to staying at the forefront of this dynamic field. My academic journey, including an M.Sc. in Data Science (Distinction) and a B.Sc. in Computer Systems (1st Class Honors), reflects my dedication to excellence.
I thrive in collaborative environments where innovative problem-solving and data-driven strategies are key. Let’s connect if you’re interested in leveraging data to solve complex challenges and drive business growth.
Skills
Language
Python(NumPy, Pandas, Scikit-learn, TensorFlow, Keras), R, and SQL
Data Visualization
Matplotlib, Seaborn and Excel
Machine\Deep Learning Techniques
Supervised & Unsupervised Learning, Regression, Classification, and Clustering
Tools & Technologies
Jupyter Notebook, Git, and Excel