Shagun Shah

• Automated and optimized reporting workflows using Alteryx and Power Apps, reducing manual effort by 80% and improving data quality and timeliness. • Designed and maintained Power BI dashboards with standardized KPIs using DAX for quality, compliance, EHS, and operations reporting. • Integrated data from SQL, SAP, APIs, and Snowflake within Azure to support scalable cloud analytics and ETL. • Migrated Tableau dashboards to Power BI, standardizing development and boosting self-service adoption.

• Designed and implemented Tableau dashboards to monitor compliance metrics and risk indicators for regulatory reporting. • Increased reporting accuracy by 25% through data cleaning and exploratory data analysis (EDA) using Python (Pandas, NumPy). • Enhanced data governance by reviewing and validating GDPR-compliant datasets, resulting in a 35% reduction in audit risk.

• Designed, developed, and deployed Power BI dashboards to analyze and interpret financial and operational KPIs, reducing reporting turnaround time by 30%. • Converted business requirements into structured SQL-based data models to enable budget planning and recurring financial analysis. • Conducted variance analysis and impact assessments for management and board-level reporting, resulting in a 25% improvement in operational efficiency.

• Monitored 5,000+ Informatica ETL jobs, ensuring SLA compliance through SQL-based validation. • Developed Tableau dashboards to track ETL performance and operational metrics. • Investigated and resolved production data issues, maintaining data pipeline stability. • Recognition: Awarded Best Debutant at Infosys in 2018

Specialization: Machine Learning & Artificial Intelligence Master’s Thesis: Investigating word class representations in large language models (LLMs) using Probes