Open to opportunities

MN MUBEEN

@mnmubeen

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Data Science student turning data into predictive models and BI dashboards for real business impact.

Sri Lanka

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What I'm looking for

I’m looking for a role where I can build ETL and data models, ship ML/BI features, and collaborate with cross-functional teams—turning analytics into practical outcomes with clean engineering practices.

I’m a third-year BSc (Hons) Data Science student with hands-on experience across data engineering, machine learning, and full-stack development. I build ETL pipelines, data warehouses, predictive models, and production-ready web/mobile features with a strong analytical mindset.

From designing ETL workflows and Snowflake-schema warehouses with SSIS to delivering OLAP cubes and interactive Power BI/Excel reporting, I focus on turning messy data into decisions. I also develop ML systems like a demand forecasting app using XGBoost and Streamlit, and I’ve built secure, role-based applications with Java Servlet/Spring Boot and MERN.

Experience

Work history, roles, and key accomplishments

Current

BSc (Hons) in Data Science

Current

Sri Lanka Institute of Information Technology (SLIIT)

Nov 2023 - Present (2 years 8 months)

Third-year BSc (Hons) Data Science undergraduate with hands-on experience across data engineering, machine learning, and full-stack development. Coursework and projects cover machine learning, statistical analysis, databases, and data visualization.

Python R SQL TensorFlow Power BI Tableau Java C Data Warehousing Machine Learning

English Diploma (A/L)

Sabaragamuwa University of Sri Lanka

English diploma at Sabaragamuwa University of Sri Lanka alongside G.C.E. Advanced Level studies (Physics, Chemistry, and Combined Mathematics).

Education

Degrees, certifications, and relevant coursework

SLIIT (Sri Lanka Institute of Information Technology)

Bachelor of Science (Honours), Data Science

2023 -

BSc (Hons) Data Science undergraduate at SLIIT, currently in 3rd year (2nd semester). Coursework includes machine learning, statistical analysis, database systems, data visualization, and big data analytics.