About me
Motivated Data Scientist/ML Engineer with a strong foundation in Python and hands-on experience working with libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Skilled in data preprocessing, feature engineering, and data visualization to build reliable machine learning solutions. Proficient in applying supervised and unsupervised learning techniques to uncover insights and support decision-making. Adept at leveraging tools like Google Colab and Excel for data analysis and storytelling, with a keen interest in transforming raw data into actionable intelligence.
Projects
Development of Reinforcement Learning Model for Brushless DC Motor Controlled Parallelogram Arm Robot
Related Skills and Tools: Python || Numpy || Pandas || Matplotlib || Gymnasium || stable_baselines3 || Data Preprocessing || Feature Engineering || Data Collection || Data Visualization || Data Analysis || Reinforcement Learning || Project Management || Research and Development
Development of High Performing Machine Learning Model for Diagnosis of Schizophrenia
Related Skills and Tools: Python || Pandas || Numpy || Sklearn || Matplotlib || Tensorflow || Google Colab || Data Preprocessing || Feature Engineering || Data Visualization || Machine Learning
Employee Absenteeism
Related Skills: Python || Numpy || Pandas || Sklearn || sklearn || Matplotlib || Seaborn || Google Colab || Machine Learning || Excel for Data Analysis|| Data Storytelling
More Projects
ZEDEF Sales Boost
Related Skills: End-to-End Data Analysis || Excel || Data Visualization || Data Cleaning || Data Storytelling
Education and Training
Electronic and Electrical Engineering
Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria
Related Project:
Development of High Performing Machine Learning Model for Diagnosis of Schizophrenia
Intern
Applied Artificial Intelligence and Robotics Research Lab (A2IR2)
Relevant Experience
- I loaded a Raspberry pi 4 and developed a python script to test the performance of a machine learning model
- I supported the Weather Variables Forecast team in observing and recording of the power consumption rate of the pi 4
Intern
WeJapa Internship Data Science Track
Related Project: Bike Share Systems