ADEDAMOLA ADAMS

Aspiring Machine Learning Engineer | Data Scientist
Ile-Ife, NG.

About

Highly motivated Computer Engineering student with a strong foundation in machine learning, deep learning, and data science. Proven ability to develop and deploy predictive models, implement robust image classification systems, and extract actionable insights from complex datasets. Eager to leverage expertise in Python, TensorFlow, and Docker to drive innovation in data-driven environments and contribute to impactful projects.

Volunteer

Data Science Nigeria (DSN OAU)
|

Co-Lead

Ile-Ife, Osun State, Nigeria

Summary

Led community-driven initiatives and educational programs to foster data science literacy and project development among students.

Highlights

Tutored over 50 students in machine learning fundamentals and guided them through the development of practical machine learning projects during a community-driven bootcamp.

Co-led strategic planning and execution of data science events, effectively mentoring over 100 participants and significantly increasing engagement within the university's data science community.

Skills

Programming Languages

Python, SQL.

Machine Learning & Deep Learning

Scikit-Learn, TensorFlow, Keras, Convolutional Neural Networks (CNN), Model Evaluation (Accuracy, AUC Score), Feature Engineering, Exploratory Data Analysis (EDA).

Data Analysis & Visualization

Pandas, Numpy, Matplotlib, Seaborn, Jupyter.

Deployment & MLOps

Flask, Streamlit, Docker, AWS, Git, Poetry, API Development.

Education

Obafemi Awolowo University
Ile-Ife, Osun State, Nigeria

Bachelor of Applied Science

Computer Engineering

Courses

Applied Statistics & Probability

Structures and Algorithms

Numerical Methods

Certificates

Introducing Generative AI with AWS

Issued By

AWS

Career Essentials in Generative AI

Issued By

Online Course Provider

AWS Educate Machine Learning Foundations

Issued By

AWS Educate

Projects

Plant Disease Image Classification

Summary

Developed a Convolutional Neural Network (CNN) model to detect diseases in plant leaves using image data, supporting agricultural diagnostics.

Lung Colon Image Classification

Summary

Created a Convolutional Neural Network (CNN) model to accurately detect lung and colon cancer in patients using medical image scans.

Financial Inclusion in Africa (Zindi Hackathon)

Summary

Built a machine learning model designed to identify individuals in Africa more likely to own bank accounts, contributing to financial inclusion efforts.

Loan Approval Prediction System

Summary

Developed a machine learning model to predict loan approval status for financial institutions, enhancing decision-making processes.