Abdulroqeeb Alaka

ML/AI Engineer

Ikotun, Lagos, 100275, Lagos, NG.

About

Highly motivated and intellectually curious Machine Learning Engineer with a Bachelor's degree in Arabic Studies, uniquely blending a humanities background with a strong foundation in Machine Learning. Adept at leveraging Python and SQL for complex data cleaning, exploratory data analysis, and predictive modeling, I excel at extracting actionable insights and communicating findings clearly. Passionate about applying data science to solve real-world problems, I am eager to contribute to a collaborative, forward-thinking team.

Work

Ef-Oneweb

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Administrative Intern

Abeokuta, Nigeria, Nigeria

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Summary

Supported administrative operations, streamlining scheduling and data management to enhance client performance tracking and operational efficiency.

Highlights

Streamlined scheduling and task tracking processes by maintaining comprehensive spreadsheets, improving operational efficiency.

Managed accurate data entry, invoice logs, and client calendar management, ensuring seamless administrative support.

Developed and updated Excel-based reports to monitor client performance metrics, providing actionable insights for strategic decision-making.

Education

Lagos State University

Lagos, Nigeria, Nigeria
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B.A Arabic Studies

Languages

English

Certificates

AWS AI Practitioner

Applied Data Science Lab

WorldQuant University

Skills

Machine Learning Libraries

Pandas, NumPy, Scikit-learn, OpenCV, Pytorch, Matplotlib, Seaborn.

Programming Languages

Python, MySQL.

Data Tools & Platforms

Jupyter Notebook, MySQL Workbench, Google Workspace, Microsoft Office, Microsoft Excel, Power BI, Tableau, PartyRock, Generative AI, Prompt Engineering.

Machine Learning Concepts

Data wrangling, EDA (Exploratory Data Analysis), Machine learning, Computer vision, Classification, Regression, Clustering, Predictive Modeling, Feature Engineering.

Soft Skills

Critical thinking, Time management, Communication, Teamwork, Adaptability, Continuous learning, Problem-solving, Data Interpretation, Storytelling.

Projects

Crop Selection Prediction using Soil Data

Summary

Developed a multi-class classification model to recommend suitable crops based on soil nutrients and pH levels.

Penguin Species Clustering using Unsupervised Learning

Summary

Applied K-Means clustering to identify natural groupings in an unlabeled penguin dataset based on morphological features.

Used Car Price Prediction using Regression Pipeline

Summary

Built an end-to-end machine learning pipeline to predict used car prices based on various features.

FocusFlow App

Summary

An AI-powered productivity app that generates structured daily schedules based on user tasks, available time, and likely distractions.

BCG Data Science Job Simulation on Forage

Summary

A customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills.