Hemant Singh

◦ Built an end-to-end data pipeline ingesting 50K+ survey responses annually from Qualtrics into Azure Data Lake using Azure Data Factory, transforming and loading curated datasets into Azure SQL, reducing manual data processing by 90%. ◦ Designed scalable ETL workflows using PySpark and Delta Lake (Medallion Architecture) to process 10M+ records annually, improving data reliability and enabling downstream analytics for incident and survey data. ◦ Developed a sentiment classification model using NLP techniques to categorize employee feedback into actionable insights, achieving 84% model accuracy and enabling leadership to track employee experience trends. ◦ Performed exploratory data analysis (EDA), feature engineering, and statistical analysis on operational datasets using Pandas and SQL to identify recurring operational patterns, generating business insights through aggregated metrics and time-series analysis. ◦ Collaborated with cross-functional stakeholders to gather data requirements and improve data accessibility for analytics and reporting use cases.

◦ Developed a subscription-based application to automatically send email notifications during service downtime, reducing manual effort by 90%.