Open to opportunities

Toritseju Otumara

@toritsejuotumara

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Computer Science student building data, AI, and machine learning solutions for real-world impact.

Nigeria

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What I'm looking for

I’m looking for an opportunity where I can apply data, AI, and machine learning to build solutions that solve local problems. I want to grow technically, contribute to real projects, and work with a team focused on impact.

I’m a driven Computer Science student passionate about data, AI, Machine Learning, and creating real change in Africa through technology. I aim to build innovative solutions that empower people, solve local challenges, and inspire progress.

In my Machine Learning internship at Elevvo Pathways, I analyzed datasets to identify key drivers of exam performance and loan approval outcomes using regression and classification. I also conducted customer segmentation with K-Means and DBSCAN, and worked on preprocessing, feature engineering, and model evaluation using Python, Pandas, NumPy, Matplotlib, and Scikit-learn—turning data into actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Online Data Science Training

Current

DataCamp

Jun 2025 - Present (10 months)

Completed interactive training in data science and data analytics, covering AI fundamentals and machine learning concepts. Expanded learning to cloud computing and IoT topics through course modules.

Data Science Data Analytics Machine Learning Cloud Computing IoT

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Web Development & Programming Training

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NIIT Nigeria

Aug 2024 - Present (1 year 8 months)

Built foundational skills in web development using HTML, CSS, and JavaScript, alongside Python programming. Developed small-scale web applications as part of practical coursework.

HTML CSS JavaScript Python Web Development Coursework Projects

Machine Learning Intern

Elevvo Pathways

Aug 2025 - Sep 2025 (1 month)

Analyzed datasets to identify key drivers of exam performance and loan approval outcomes using regression and classification methods. Performed customer segmentation with K-Means/DBSCAN and delivered data preprocessing, feature engineering, and model evaluation for reporting.