Tanusha Erpula

Master's

Data Analytics

Object Technology Solutions

Data Analyst

- Conducted extensive data mining, extracting insights from customer usage patterns, resulted in a 20% increase in marketing response rates - Successfully developed BI system for massive data from smart devices, improving data quality procedures by 20 - Significantly improved the accuracy of clinical trial data through advanced statistical analysis using SAS - Automated data processing for analytics team, reducing report generation time by 50% through development of ETL pipelines in Airflow - Applied advanced statistical modeling techniques analyzing consumer data, improved forecast accuracy aided in strategic decision-making - Refined data modeling with Azure Analysis Services, enhancing fraud detection and slicing data processing times - Increased financial risk assessment by 40% and cut fraud incidents using Python and R in a collaborative project initiative - Streamlined the 20k+ data items from MS SQL Server using Data Transformation Services (DTS), to analyze customer purchase behavior - Applied geospatial analytics to visualize customer distribution patterns, aiding in market expansion strategies - Employed predictive analytics using TensorFlow, increasing forecast precision for customer trends by 18 - Executed a data consolidation project utilizing AWS Redshift, boosting data accessibility and system reliability