Data Scientist & AI Engineer passionate about building intelligent systems, currently advancing my expertise through a Master’s in Machine Learning and Artificial Inteligence at the Georgia Institute of Technology . @obinnadinneya
An end-to-end machine learning + MLOps pipeline built on top of 300k GitHub issues. The final project predicts **issue resolution classes allowing for efficient customer support and resource allocation
This research project delves into the profound effects of behavioral lifestyle choices, socioeconomic status, and healthcare access on individuals' perceived health.
This project uses Convolutional Neural Networks to distinguish between esophagitis and ulcerative colitis from endoscopic images, enabling faster, more accurate treatment decisions.
In this project, I concentrated on exploring the effects of different physical activities, like walking and running, on my HRV. This allowed me to gain insights into the physiological reactions to various exercise routines.
In this project we clean housing data in python, apply machine learning using a linear regression model with and without principle component analysis to predict house prices based on features.
Scraped real-world Glassdoor data, analyzed the dataset to uncover impactful salary-influencing features in a data science role, performed feature engineering, built linear and random forest regression models, and established a Flask API endpoint for deploying the chosen model.
This project showcases my skills in Extracting, transforming and loading data into a pipeline for Analysis and forecasting of future sales.
Data Exploration of European soccer database from 2008/2009 to 2015/2016 season using SQL queries and python sqlalchemy library.
Toronto, Ontario