Mariat Biju

Built and deployed Python-based ML pipelines (Random Forest, XGBoost) with Scikit-Learn, applying software engineering practices like modular code design and reproducible experiment structure to a churn-prediction system. Engineered feature pipelines over high-volume structured datasets, contributing to a 10% lift in targeted retention and reduced marketing overhead through data-driven system design.

Software & Data Systems Intern at ICT Academy of Kerala (2025-03 – 2025-04)

• Built and deployed Python-based ML pipelines (Random Forest, XGBoost) with Scikit-Learn, applying software engineering practices like modular code design and reproducible experiment structure to a churn-prediction system.
• Engineered feature pipelines over high-volume structured datasets, contributing to a 10% lift in targeted retention and reduced marketing overhead through data-driven system design.

Technical Tutor – Mathematics & Computing at Interval Learning (2024-09 – 2025-01)

• Orchestrated structured instruction in Algebra, Calculus, and Statistics, translating abstract mathematical and algorithmic concepts into computational thinking skills for 50+ students.
• Reduced concept mastery time by up to two weeks and improved average academic performance by two letter grades through personalized lesson planning, continuous feedback, and systematic progress tracking.

Master of Science in Applied Statistics – Kuriakose Elias College, Mannanam (2024 – 2026)

Postgraduate Diploma in Computer Application – Alphonsa Institute of Computer Studies, Arunapuram (2021 – 2024)

Bachelor of Science in Mathematics – Alphonsa College, Pala (2021 – 2024)

PCMC - DHSE – Holy Cross HSS, Cherpunkal (2019 – 2021)