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Melissa Manuela

@melissamanuela

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I am a data analyst-in-training skilled in Python, SQL, and predictive modeling to drive actionable insights.

Uganda

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What I'm looking for

I’m seeking an entry-level data analyst role in a growth-oriented company where I can apply Python, SQL, and ML to deliver actionable insights, learn from mentors, and contribute to data-driven decisions.

I am a detail-oriented, analytical data professional with a BSc in Computer Science from Makerere University.

During my internship at Lexietech Solutions I developed predictive models in Python and SQL that improved client churn forecasting accuracy by 28%. I also automated data cleaning and visualization workflows, reducing manual reporting time by 40%.

I collaborated on A/B test design and analysis that drove a 15% increase in targeted user engagement and worked closely with senior data scientists to translate analytics into business strategies.

I have published two papers in the field of machine learning and data science, including work on machine vision for breast cancer diagnosis and context-aware interpretable gesture recognition. I am passionate about applying machine learning, deep learning, and visualization to deliver actionable insights in a growth-oriented environment.

Experience

Work history, roles, and key accomplishments

Data Science & Data Analyst Intern

Lexietech Solutions

Jun 2023 - Aug 2025 (2 years 2 months)

Built predictive models and automated ETL/reporting that improved client churn forecasting accuracy by 28% and reduced manual reporting time by 40%, delivering weekly insights to cross-functional teams. Supported A/B test design and analysis that drove a 15% increase in targeted user engagement.

Python SQL Power BI Tableau Machine Learning Deep Learning Data Cleaning A B Testing

Education

Degrees, certifications, and relevant coursework

Makerere University

Bachelor of Science, Computer Science

2022 - 2025

Activities and societies: Published two papers: "Machine vision intelligence using layer wise relevance backward propagation for breast cancer diagnosis" (2024), https://doi.org/10.1109/ICIPCN63822.2024.00031; and "Towards responsible software systems by leveraging noise for context aware interpretable gesture recognition" (2025), https://doi.org/10.1007/978-981-96-1185-0_32.

Bachelor of Science in Computer Science (2022–2025) with research focus in machine learning and data science. Authored two published papers on machine vision for breast cancer diagnosis and context-aware interpretable gesture recognition.