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Divina MbelDM
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Divina Mbel

@divinambel

Entry-level data scientist skilled in Python, SQL, and applied machine learning for social impact.

Cameroon
Message

What I'm looking for

I seek roles applying ML and data analysis to healthcare, education, or community projects, with mentorship, hands-on impact, and growth opportunities.

I am an entry-level data scientist with hands-on experience in Python, SQL, PostgreSQL, TensorFlow, and end-to-end machine learning pipelines. I have led and supervised internship teams, designed course content on generative AI and data science, and delivered applied projects such as a plant disease detection app and a blood donation analytics dashboard.

I combine technical capability with community impact: I mentor students in Python and ML, organize workshops that reached hundreds of participants, and coordinate digital literacy programs for young women. I designed internship programs that improved delivery efficiency and created course materials used by 500+ learners.

I am passionate about applying data science in healthcare, education, and community development, and I focus on building practical, deployable solutions and teaching accessible AI concepts to non-technical audiences.

Experience

Work history, roles, and key accomplishments

TT

Data Science Supervisor

Traitz Tech

Feb 2024 - Apr 2025 (1 year 2 months)

Supervised interns on machine learning and analytics projects, improving model accuracy and data quality and increasing project delivery efficiency by 20%. Led end-to-end ML pipeline work from data preparation to deployment.

Education

Degrees, certifications, and relevant coursework

TB

The University of Bamenda

Master's Degree in Data Science, Data Science

2023 -

Pursuing a Master's degree in Data Science with coursework and projects focused on machine learning, AI applications, and data analysis.

TB

The University of Bamenda

Bachelor's degree in Software Engineering, Software Engineering

2020 - 2023

Completed a Bachelor's degree in Software Engineering with emphasis on software development, programming, and applied computing projects.

Tech stack

Software and tools used professionally

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