Data Analyst with hands-on experience in Python, SQL, Power BI, NLP classification, real-world dataset analysis, and machine learning research.
Tata Data Visualisation Virtual Experience
Jun 2025 – Jul 2025
Completed a Forage simulation involving data cleaning, churn modelling, and BI reporting for a simulated executive team. Replaced manual Excel reporting with interactive Power BI dashboards, reducing weekly report turnaround from approximately 3 hours to 30 minutes; improved predictive churn model accuracy from 81% to 92% through feature engineering and regularization tuning; delivered three data-backed recommendations from A/B test results and revenue trend analysis; translated technical findings into executive-ready reports.
Bachelor of Computer Applications
Aug 2024 – Jul 2027
GPA: 9 / 10
Class XII, Science (PCMB)
Apr 2022 – Jul 2024
GPA: 7.8 / 10
NLP and machine learning project using Python, Scikit-learn, NLTK, SpaCy, TF-IDF, and LinearSVC. Cleaned and processed more than 50,000 news articles from the ISOT corpus, benchmarked four classifiers, and achieved 89% test accuracy with LinearSVC. Identified discriminating n-grams associated with misinformation language patterns.
Data analytics and business intelligence project using Python, Pandas, Seaborn, SQL, and Power BI. Cleaned approximately 8,800 records, handled more than 30% missing values in director and cast fields through logical imputation, analyzed content trends, and built a multi-page dashboard with genre slicers, year-over-year trends, and regional heat maps.
International Journal of Sustainable Development Through AI, ML and IoT (IJSDAI) · Jul 21, 2025
International Journal of Sustainable Development Through AI, ML and IoT (IJSDAI) · Jul 21, 2025