Generated and optimised a criminals dashboard for police forces, enabling top-down criminal search and enhancing data retrieval and consumption efficiency.Automated report generation for CSM to streamline reporting process by reduced report turnaround from 3 days to 1 hour using ETL processes.Deployed Apache Superset to synthesize complex datasets into visual dashboards, enabling a 40% reduction in time, the tool is utilised by 15+ client teams for reporting.Designed a predictive model for clients in the real estate sector to forecast SKUs for maximising revenue. Collaborated for big data analytics to produce quarterly market trend reports, informing strategic decision-making. Leveraged Trino for data warehousing to manage over 10 million healthcare records, reducing query processing time by 60%. Built scalable analytics dashboards that provided critical insights and enhancing decision-making.Engineered advanced data-driven detection and classification pipelines for transformer and CNN-based models fine- tuned existing models achieving a notable 15% increase in classification accuracy across diverse datasets.Drove extensive research and experimentation with SOTA models to develop a data science-driven deepfake detection solution using facial recognition, achieved 80% accuracy, and successfully deployed this solution across cities, significantly aiding cybersecurity departments.Created an anomaly detection model using ML and transformers-based models, applied PCA and feature extraction to reduce false alerts by 40% and improve detection accuracy to 85%, streamlining QA processes.

Worked on Predictive analysis and time series forecasting using ARIMA modelling.

-Revamped and Executed a quality detection module for vehicle inspection, achieving a remarkable accuracy rate of 97-98% through rigorous testing, Postman API-Implemented a cost-effective AI solution using via image processing using OpenCV, achieving a significant reduction in computational expenses by 40%-Designed a predictive model for clients in the real estate sector to forecast SKUs for maximising revenue.

◦ Prepared Project bids: Created a proposed methodology for 3 NGOs with a focus on education, employment, and agriculture practices

◦ Product Research: Brief Research about the products with proper documentation.◦ Analyses of data and Market Reach-out: Analyzed customer details on MS-excel to segregate target audience and used Excel VBA and MailChimp for bulk messaging and emailing