Bhavana Kolli

• Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
• Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
• Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
• Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
• Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
• Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
• Performed basic sanity checks on data using PySpark, SparkSQL on Azure Databricks.
• Created Dataflows in Power BI in order with Dimensional tables that can help users to build self-service reports, that in fact increased the re-usability of data

• Accomplished Business Intelligence Professional with a strong background in designing, developing, and maintaining Business Intelligence solutions using QlikView and Qlik Sense.
• Proficient in building data models and integrating data from multiple sources including ODBC connections (Amazon Redshift), SAP BW, Salesforce, flat files, XML files, Excel files, and SQL Server.
• Experienced in implementing ETL processes to enable the creation of interactive dashboards, reports, and incremental data models.
• Specialized in optimizing performance and ensuring compliance with data security.
• Skilled in maintaining and supporting BI products and providing technical assistance to end users.
• Responsible for data quality assurance, regularly assessing and enhancing data consistency and accuracy.
• Proficient in responding to ad hoc data analysis requests and collaborating with cross-functional teams.
• Strong hands-on experience with MySQL and adept at working in Agile methodology environments, participating in scrum meetings.
• Well-versed in QlikView Scripting, Set Analysis, and Section Access.
• Proficient in managing job failure analysis and providing production support for various applications.
• Deep understanding of data modeling, including dimensional and relational concepts such as Star-Schema modeling and Snowflake schema modeling, and creating fact and dimension tables.

Worked as an intern and was trained on SAP BW and SAP HANA

• Completed specialized training in SAP BW (SAP Business Warehouse), a prominent data warehousing and business intelligence platform.
• Acquired essential skills in data modeling, ETL (Extract, Transform, Load), and data reporting with SAP BW.
• Proficient in designing and managing data objects, data providers, and data sources in SAP BW.
• Developed expertise in creating data queries and reports, facilitating data-driven decision-making.
• Familiar with SAP BW's data integration capabilities for holistic business data analysis.

• Performed statistical, qualitative, and quantitative analysis.
• Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
• Spearheaded a Research Internship focusing on the application of cutting-edge machine learning methodologies to expedite drug discovery processes.
• Successfully implemented and fine-tuned machine learning models to predict a comprehensive set of ten distinct molecular properties associated with compound clearance and metabolism.
• Designed and implemented an advanced deep learning model with a focus on predicting the Blood-brain barrier of molecules, a critical element in pharmaceutical research.
• Rigorously trained and fine-tuned the model to achieve exceptional levels of accuracy, consistently surpassing industry standards and establishing a new benchmark in molecular property prediction.