- M.Sc., Data Science & Analytics | University of Hertfordshire (May 2025)
- BCA., Computer Applications | KLE's PC Jabin College (Sep 2021)
Data Analyst @ NielsenIQ (Oct 2021 - Dec 2023)
- Worked with large FMCG and retail datasets to support commercial and market intelligence reporting
- Built and maintained advanced Excel-based trackers, dashboards, and analytical reports used by internal teams and clients
- Performed data cleaning, validation, and exploratory analysis to identify trends, anomalies, and performance drivers
- Supported customer and product analysis, contributing insights for pricing, distribution, and sales strategy decisions
- Collaborated with cross-functional teams (operations, analysts, stakeholders) to deliver timely and accurate insights
- Improved reporting efficiency through structured workflows and automation, enhancing data reliability and turnaround time
- Designed an end-to-end analytics pipeline using RFM analysis to understand customer behaviour
- Built and evaluated Random Forest and XGBoost models to predict customer lifetime value
- Performed feature engineering, model comparison, and performance evaluation
- Delivered customer segmentation insights to support retention and marketing strategies Tech: Python, pandas, scikit-learn, XGBoost, EDA. 🔗 Repository: [Add GitHub link]
- Developed a text classification pipeline to detect fake vs real news articles
- Implemented NLP techniques including TF-IDF vectorisation
- Trained and compared multiple machine learning models
- Applied Explainable AI (SHAP) to interpret predictions and improve model transparency Tech: Python, NLP, TF-IDF, ML models, SHAP 🔗 Repository: [Add GitHub link]
- Oracle Cloud Infrastructure (OCI) – Data Science Professional
- LinkedIn Learning – Business Analysis & Analytics Certifications
