I am a Data Science and Analytics student with practical software engineering experience and a strong interest in building reliable data products. I combine statistical analysis, machine learning, and full-stack development skills to turn complex datasets into useful applications and decisions.
I have worked with Python, SQL, TypeScript, React, PostgreSQL, Django REST Framework, and Streamlit in collaborative Agile environments. My experience includes designing normalized database schemas, developing REST APIs with authentication, and creating responsive frontend components from Figma designs.
My data science work focuses on leakage-controlled machine learning pipelines, feature engineering, model evaluation, calibration, and class-imbalance handling. I have built credit-risk models, financial-inclusion analytics pipelines, and interactive dashboards using Power BI and Python.
I value software quality, reproducibility, and clear communication. I use Git-based workflows, automated tests, Docker, CI pipelines, code reviews, and documentation to deliver maintainable technical work.
I also contribute to open-source projects, including Altair and Streamlit Extras. I am motivated by opportunities where I can apply data science and engineering skills to solve meaningful real-world problems.
Collaborated in a nine-person Agile engineering squad to deliver full-stack product features using TypeScript, React, and PostgreSQL. Participated in code reviews and bi-weekly sprint retrospectives.
Designed and normalized PostgreSQL database schemas for user management, product inventory, and order transaction pipelines.
Implemented modular REST backend endpoints with Django REST Framework, including JWT authentication and role-based access control.
Translated Figma interface mockups into reusable, mobile-responsive React components and verified cross-browser compatibility.
Bachelor of Science, Data Science & Analytics
Trimester accelerated program; expected graduation in 2028. Relevant coursework includes Machine Learning, Statistical Modeling and Inference, Data Structures and Algorithms, Data Warehousing and Mining, and Database Systems. Mastercard Foundation Scholar with a full academic scholarship for leadership, academic excellence, and community impact.
Software Engineering Programme, Software Engineering
Completed the nine-month Foundations Phase in systems engineering, covering C, Python, memory management, data structures, relational databases, and Git team workflows.
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