J Jumana

To apply my analytical and problem-solving skills to interpret data, improve processes, and support effective business decisions. I aim to drive business growth by transforming complex data into actionable insights, enhancing operational efficiency, and aligning solutions with organizational goals.

Intern at Data Pattern (2025-08 – 2025-11)

• Engineered an end-to-end Python-based data quality pipeline to profile datasets and detect anomalies across completeness, accuracy, consistency, validity, and uniqueness using Azure Data Lake Storage (ADLS).
• Integrated an LLM-powered feedback system to generate automated quality reports, identify root causes, and recommend data corrections, reducing manual validation effort.
• Performed data preprocessing, schema validation, deduplication, and anomaly detection using Pandas and Scikit-learn to improve data quality.
• Developed a Streamlit dashboard to visualize data quality metrics and trends, and exposed validation logic through Flask REST APIs for ETL integration
• Generated structured JSON quality reports to ensure auditability and reproducibility.

MSc in Data Science with Business Analytics – BHARATHIYAR UNIVERSITY (2024 – 2026)

– Rathinam Arts and Science College

Bachelor of Computer Application in Computer Application – NEHRU COLLEGE OF ARTS AND SCIENCE (2020 – 2023)