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Masters in Data science(AI/ML) @ MIT Manipal | Ex-IQVIA worked as Data Engineer
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LEARNVATE
March 10, 2026 – Present
LEARNVATE is a revolutionary AI-powered MCQ (Multiple Choice Question) learning platform that adapts to each student's learning pace and style. Our intelligent adaptive learning algorithm adjusts question difficulty in real-time, helping students master exams across multiple categories.
View Projectpharmacy-ETL-pipeline
May 1, 2025 – May 15, 2025
A comprehensive ETL (Extract, Transform, Load) pipeline for pharmacy data management, built with Python and PySpark. This project handles the complete data lifecycle from synthetic data generation to warehouse storage and analytics.
View ProjectText-sentiment-analyzer
July 24, 2024 – May 1, 2025
A powerful Python-based system for extracting and analyzing textual data from URLs. This project offers comprehensive text analysis including sentiment scoring, readability assessment, and linguistic feature extraction.
View ProjectHealthcare-Billing-Audit-Analysis
July 24, 2024 – May 1, 2025
A comprehensive Python-based toolkit for auditing and analyzing healthcare billing data. This project helps healthcare providers and administrators ensure billing accuracy, identify discrepancies, and gain valuable insights into financial patterns.
View ProjectTwitter-real-time-data-analysis-using-spark-streaming
September 21, 2021 – May 1, 2025
Twitter real time data analysis using spark-streaming
View Projectworld-university-rankings-analysis
September 21, 2021 – May 1, 2025
PySpark-based analysis of world university rankings (Times Higher Education, CWUR, Shanghai). Offers insights into global higher education trends, institutional performance, and cross-ranking comparisons.
View ProjectFacebook-Data-Analysis-Hadoop-Hive
August 25, 2021 – May 1, 2025
Facebook-Data analysis based on likes,tenure and age groups using Big Data Technologies
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and big data. The diversity of projects (ETL, AI learning platform, sentiment analysis, healthcare analytics) suggests a broad curiosity and willingness to explore different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.