Oct 2022 – Present · 3 yrs 5 mos

• Designed and delivered 50+ interactive Power BI dashboards across Finance, Operations, and HR functions - reducing report turnaround time by 40% and enabling faster business decisions.
• Implemented advanced DAX measures and optimized report performance, cutting dashboard load times by 30%+, enhancing the user experience for 200+ business stakeholders.
• Partnered with 10+ cross-functional teams (data engineers, analysts, and business leaders) to gather BI requirements, design scalable semantic models, and deliver insights that increased data-driven decisions by 25%.
• Conducted a comprehensive analysis of 300+ Power BI and Paginated reports, documenting DAX, SQL transformation logic and metadata to build a centralized metadata repository that improved transparency and report governance.
• Built and optimized data models in Snowflake and semantic views to improve query efficiency, achieving 20–25% faster report refresh rates and more accurate analytics delivery.
• Developed complex SQL queries and Python-based ETL scripts for data ingestion from Oracle and SQL Server, ensuring data accuracy and integrity in downstream systems.
• Identified and implemented performance optimizations in data pipelines, leading to 15% improvement in data processing speed and reduced maintenance overhead.
• Led internal knowledge-sharing sessions on best practices in Power BI, data modeling, and ETL workflows, promoting team learning and consistency across projects.
• Achieved certifications - PL-300 (Power BI Data Analyst Associate) and DP-600 (Fabric Analytics Engineer), demonstrating advanced proficiency in BI and cloud data engineering.

Feb 2022 – Sep 2022 · 7 mos

• Worked in Agile delivery models, participating in all phases of the project lifecycle (requirements > design > deployment > support) to ensure successful automation delivery.
• Collaborated with Business Analysts and SMEs to gather and validate process requirements, assess automation feasibility, and design solutions that streamlined repetitive SAP workflows using Power Automate Desktop, achieving 30–40% reduction in manual effort.
• Supported deployment management and BRD documentation, ensuring accurate and compliant process records in collaboration with operations and delivery teams.
• Authored and maintained comprehensive business and technical documentation, including PDDs, SDDs, UAT cases, effort estimations, training manuals, troubleshooting guides, and handover documents, ensuring traceability across the automation lifecycle.
• Designed and executed UAT plans and test cases using JIRA Zephyr, resulting in a 95% first-pass success rate during user acceptance testing.
• Developed and optimized end-to-end automation workflows in UiPath Studio, integrating Excel, Web, PDF, and Email automations for insurance operations, improving process throughput by 25%+.
• Gained hands-on experience managing bots in UiPath Orchestrator Cloud, including monitoring, scheduling, and performance tracking.
• Completed advanced training in UiPath Process Mining, AI Center, and Document Understanding, enhancing capability in intelligent automation design.
• Earned UiPath Certified Advanced RPA Developer (UiARD) and Microsoft Certified: Azure Data Fundamentals (DP-900) credentials, strengthening automation and data engineering expertise.

Jan 2021 – Jan 2022 · 1 yr

• Completed HL7 FHIR (Fast Healthcare Interoperability Resources) training and developed a strong foundational understanding of healthcare data interoperability standards and healthcare domain processes.
• Conducted Proofs of Concept (POCs) to evaluate automation feasibility using UiPath and Blue Prism for a Media sector use case — designed workflows involving web data scraping, calendar event extraction (email automation), and Excel data processing, demonstrating 50%+ potential efficiency gains.
• Designed and built a Finance domain POC using Microsoft Power Platform (Canvas Apps, Power Automate, SharePoint Lists) to validate business automation opportunities, gaining additional exposure to Model-Driven Apps and Dataverse.
• Developed data extraction workflows using Python, NLP techniques, and Azure Cognitive Services (Computer Vision, Form Recognizer) to automate document understanding, improving data extraction accuracy by ~30%.
• Built ETL workflows on Xceptor for Insurance domain data processing, extracting and transforming unstructured data into standardized formats per business requirements.
• Gained hands-on exposure to MLOps practices, completing MLOps-I from DataRobot, and developed foundational understanding of cloud-based AI model deployment.
• Participated across all stages of the Agile project lifecycle - design, development, testing, and enhancement - gaining end-to-end project exposure and collaborative delivery experience.
• Completed multiple Microsoft Certifications - PL900: Power Platform Fundamentals, AI900: Azure AI Fundamentals, DP900: Azure Data Fundamentals