Crop Selection Prediction using Soil Data
Summary
Developed a multi-class classification model to recommend suitable crops based on soil nutrients and pH levels.
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
|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
Issued By
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
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.
BCG Data Science Job Simulation on Forage
Summary
A customer churn analysis simulation for XYZ Analytics, demonstrating advanced data analytics skills.