Hakeem A.

Key Skills

Software

No software listed

Top Subject Matter

Machine learning model development and deployment

structured tabular data

healthcare/finance/education predictive analytics

Top Data Types

Computer Code Programming

Top Task Types

Classification

Freelancer Overview

Data Scientist (Data Science Fellowship) – Blossom Academy. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python (Scikit-learn, Jupyter, and Google Colab). Education includes Diploma, Alison (2026) and Higher National Diploma, Kwara State Polytechnic (2019). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Classification.

Labeling Experience

Data Science Educator & Curriculum Analyst – Cyber Consulting Hub

Provided AI/training-oriented education through facilitated coding sessions and curriculum adjustments based on learner progress tracking. Created and delivered data-informed lesson plans for beginners, emphasizing hands-on practice, debugging, and incremental skill development. Supplied individualized feedback and maintained progress records to identify learners who were at risk and support continued improvement. • Facilitated weekly Python and Scratch coding sessions using structured performance tracking. • Designed data-informed lessons with varying difficulty for students with no prior experience. • Provided individualized written feedback on coding projects and tracked progress over time. • Used learner progress data to adjust curricula and learning support for at-risk learners.

2025 - Present

Data Scientist (Data Science Fellowship) – Blossom Academy

Classification

Completed a project-led data science fellowship focused on the end-to-end ML workflow, including data ingestion, analysis, and building models for downstream deployment. Worked on supervised learning classification and regression tasks using structured datasets, with performance-driven model selection. Deployed trained models as interactive web applications to enable real-time predictions from user-entered inputs. • Built a student dropout binary classifier and deployed it via a live Streamlit web app for risk prediction. • Engineered and evaluated a bank churn classifier using full preprocessing and ROC-AUC/confusion-matrix assessment. • Developed malaria risk prediction and deployed it as a Streamlit interface for real-time risk assessment. • Trained and deployed a house rent regression model with a Streamlit input-to-prediction workflow.

2025 - 2026

Education

Work History