sonakshi priyadarshini

I am a data scientist and analyst with hands-on experience building ML pipelines, dashboards, and ETL systems. I blend rigorous quantitative methods with practical engineering to deliver actionable business insights.

During an internship at Indian Oil Corporation Limited, I analyzed 2.87M+ customer complaints using Qlik Sense and R, designed interactive dashboards showing temporal trends, and identified key service bottlenecks to support data-driven decisions.

My projects include a disease prediction and drug recommendation pipeline using NLP on 215,000+ patient reviews, a hybrid quantum-classical malware classifier built with PennyLane and PyTorch, and a scalable F1 lap-time prediction ETL and modeling system using FastF1 and ensemble regressors.

I hold cloud and analytics certifications (AWS Certified Cloud Practitioner, Google Data Analytics, and Google AI) and prioritize reproducible code, cross-functional collaboration, and impactful visualizations to drive measurable improvements.