Bhagyaprasad Vastrad

Challenge: Develop a data-driven solution to identify & manage potential duplicate customer records within the CMS. You should report on the number of duplicated records and provide recommendations to prevent duplication at source. Your solution should leverage data science, harness analytical techniques, and demonstrate a deep understanding of data quality principles Result: I developed a data deduplication model to identify and remove duplicate records. My approach leveraged data preprocessing, fuzzy matching, and thresholding to detect duplicates. The goal was to enhance data quality and improve business efficiency.

Built end-to-end BI solutions for business reporting and executive dashboards. Drove daily decision-making through automation and analytics. • Designed Power BI dashboards that reduced manual reporting by 50% • Automated KPI pipelines using Python, SQL, SharePoint, and Dataverse • Enabled data governance and version control through Azure Active Directory • Integrated data models and dynamic refresh cycles to serve multiple teams • Accelerated issue detection and reduced reporting turnaround across departments Every dashboard I built had one mission—turn noise into clarity.

Skills: Web Scraping · Cascading Style Sheets (CSS) · UiPath · Robotic Process Automation (RPA) · HTML Scripting