Madeeha Khan

BCA Data Science graduate (9.5 CGPA) with hands-on internship experience at TCS iON in customer segmentation and recommendation systems. Proficient in Python, SQL, Power BI, and machine learning with demonstrated ability to build end-to-end analytics solutions — from raw data cleaning and EDA to deployed web applications and interactive BI dashboards. Seeking an entry-level Data Analyst role to deliver data-driven insights that improve business decision-making.

Data Science Intern (Customer Segmentation & Recommendation System) at TCS iON (Tata Consultancy Services) (2025-11 – 2026-02)

Industry Project (135 Hours) — Completed

• Built K-Means clustering models using RFM (Recency, Frequency, Monetary) analysis on real-world retail data to identify 3 distinct customer segments, evaluated with Silhouette Score and Davies-Bouldin Index.
• Developed a hybrid recommendation system combining collaborative filtering and segment-based personalization to improve product relevance for each customer cluster.
• Designed an interactive Power BI dashboard visualizing customer KPIs, revenue trends, and segment insights, enabling stakeholder decision-making without manual reporting.
• Translated segmentation outputs into actionable marketing strategies, improving customer targeting efficiency and reducing blanket campaign costs.

B.C.A. in Data Science, Big Data Analytics & Business Intelligence – Yenepoya Institute of Arts, Science, Commerce & Management (2023-01 – 2026-01)

Pre-University Course in Commerce – CEBA – St.

Charles

Pre-University College (2021-01 – 2023-01)

Secondary School Leaving Certificate (SSLC) – Nehru English High School (2020-01 – 2021-01)