sai reddy

Developed algorithms for predictive data modeling and personalized customer interactions using Azure Databricks and Microsoft Fabric. Deployed quantitative analysis and data mining to present data on user interaction, and generated weekly reports using Azure Data Factory and Power BI.

Designed and implemented data ingestion pipelines using Apache Spark and Azure Databricks, and developed ETL pipelines with Azure Data Factory. Optimized data processing with Azure Synapse Analytics and integrated diverse data sources for unified analytics.

Created detailed workflow diagrams and visual analytics charts to communicate end-to-end data processes. Supported data engineering initiatives focused on pipeline efficiency, quality assurance, and structured documentation.

Enhanced database performance by 50% through stored procedures and triggers in Azure SQL Database. Streamlined ETL package scheduling with SSIS to improve data transfer efficiency by 50%, and analyzed data trends using Tableau and Power BI.

Activities and societies: Data Analysis using SQL, Introduction to Python, Introduction to Machine Learning and Linear Regression, Time Series Analysis, Telecom Churn Case Study, Lexical Processing, Syntactic Processing, Business Problem Assignment, Building Automated Data Pipelines with Airflow, Analytics using PySpark

Pursued a Master of Science in Engineering, covering data analysis, machine learning, and data pipeline automation.

Grade: 80%

Completed a Bachelor of Technology with 80% marks.