• Completed 2 Data Science (CV/ ML) projects from kick-off till development, which includes working with Machine learning techniqueslike Segmentation, Regression, Decision Trees, Forecasting, Clustering, PCA, SOTA Models.• Good knowledge of building strategic analysis using customer profiling, business segmentation, inferential statistics, RFM analysis.• Got proficiency in understanding and handling data according to business requirements. (EDA and Feature Engineering)• Building machine learning models with pipelines automating the process of data ingestion, data transformation and model training.Implemented modular coding with Git, logs and exception handling for tracking every step.• Deployment on AWS cloud (EC2/ECR/beanstalk) with Docker and CI/CD Pipelines.

• Cleaned and analyzed 8 months of toolroom data for setting up another toolroom on sudden burst of new projects used SQL/ DAX.• Developed a Hot Zone report, mapping client belonging cities, and identified potential future branch locations based on data analysis.Implemented a conversion report to evaluate branch performance and classify leads as warm, cold, or hot.• Effectively allocated leads to 11 branches and created comprehensive reports using Power BI, including slicers, cluster column charts,and pie charts to analyze branch performance and customer behavior.• Managed and collaborated with esteemed clients including Honda, Harman, TVS, and more for successfully achieving projectmilestones by creating internal Gantt charts for effective project tracking, ensuring quality by Pareto, Fishbone, 8-D analysis.