Shreeya Gulawani

Extracted and transformed raw operational data using SQL and Excel, building structured datasets for reporting and KPI tracking. Designed Power BI dashboards with DAX measures and automated recurring report generation, reducing manual preparation time by 25%.

Delivered data-driven insights through cross-functional collaboration, enhancing digital workplace efficiency by 25% and improving user experience across 65,000+ employees. Engineered robust ETL pipelines processing 5TB+ of BI data and designed automated Power BI dashboards.

Managed master data management processes in SAP and Excel, validating financial records and ensuring 99% accuracy across 50,000+ product entries. Developed automated Excel templates and Power Query workflows, reducing manual data entry time by 40%.

Monitored API latency and system performance using Tableau dashboards, reducing average response time by 20% across 3 platforms. Designed and maintained KPI dashboards and conducted A/B testing to improve feature adoption by 15%.

Developed churn prediction models using Python and Scikit-learn, achieving 82% accuracy and enabling retention strategies that reduced customer loss by 17%. Automated ETL workflows using Python and Snowflake, reducing manual data preparation time by 45%.

Master of Science in Data Science from Manchester Metropolitan University, completed from 2022 to 2023.

Bachelor of Technology in Information Technology from Dr. Babasaheb Ambedkar Technological University, completed from 2017 to 2021.