• Experience on ML projects • Pull & Interpret Data, Visualization and Reporting in various industries • Developed and managed Dashboards, Departmental Performance Metrics, Scorecards and Trends, Key Performance Indicators (KPIs)/Key Business Indicators (KBIs) and reporting for various projects. • Lead discussions with business stakeholders to understand their business objectives, prioritize and resolve complex and ambiguous analytical challenges. • Developed, automated and optimized reports, dashboards and custom analysis for Sales, Demographic, Web, Providers, Products, Customer and wide categories of data. • Experienced in developing standard, cost-effective and ad hoc repeatable reporting on a daily, weekly, monthly, quarterly basis. • Ability to perform deep dive data mining, identifying discrepancies and methodology to portray results in simple, comprehensive and visual manner. • Liaison and Subject Matter Expert (SME) between Engineering and Product team, Business and clients and served as a POC for all the Analytical needs. • Followed System Development Life Cycle (SDLC) (Waterfall and Agile) methodology for the design, development, testing, and implementation of various analytical programs and modules. • Created and maintained Data pipelines to create reporting data marts using AWS DataCentral, ETLM tools; Utilized Web/API data using Web Analytics tools; optimized the technology using tool specific guidelines and further transformation using BI and reporting tools. • Excellent Verbal and presentation skills to showcase analytical findings, formulate recommendations, and effectively presented the results to potential non-analytic audiences.