Abiodun O.

I’m a results-driven data scientist with 5+ years of experience developing machine learning solutions for complex problems—ranging from time series forecasting and anomaly detection to regression, classification, and clustering. With a PhD in Mechanical Engineering and Computation, I bring a rigorous, engineering-based approach to data science—bridging the gap between real-world industrial challenges and scalable, data-driven solutions. I’m highly skilled in Python, R, MATLAB, and SQL, with a strong foundation in statistical modeling and predictive analytics. Whether you're looking to detect anomalies in sensor data, automate forecasting, or unlock hidden patterns in operational systems, I can help turn your data into insight—and insight into impact.