Pranith Dachepally

- Develop and Enhance Internal Tools (Scaffold, Echogo) Using Go Lang. - Implement Parallel Processing for Large Server Fleets to Reduce Execution Time. - Maintain Concourse (Django, MySQL) and Add New Features and Db Cleanups. - Improve Echo Scheduler, Health Checks, Simulations and Performance. - Support UI/backend Changes in Echo (Node.js, React.js) - Optimize MySQL/ Postgresqlqueries and Perform Data Cleanup. - Automate Server Setup Tasks for Dell Systems in Scaffold. - Improve Structured Logging and Error Handling in Internal Tools. - Create Adhoc Python Scripts for Data Purging and Performance Optimizations. - Maintain Security and Access Control in Echo, Scaffold and Concourse Applications. - Document Workflows and Support Deployments and Production Issues. - Collaborate With Operations Teams and Participate in Agile Ceremonies.

- Communicate With Business Stakeholders to Gather and Translate Requirements Into Technical Solutions - Extract, Process, and Analyze Data From Data Warehouses and Real-time Streaming Sources - Develop, Validate, and Maintain Machine Learning Models for Business Use Cases - Design and Build Data Pipelines and Reporting Solutions - Collaborate With Cross-functional Teams to Implement Data-driven Strategies - Perform Model Testing and Validation Based on Technical Requirements - Maintain Project Documentation and Manage Code Using Version Control Tools - Analyze System Capabilities and Constraints With Project Managers and Architects - Present Insights and Findings Using Reports, Dashboards, and Visualizations

- Apply Statistical and Machine Learning Techniques to Analyze Healthcare and Administrative Data - Develop, Validate, and Monitor Predictive Models to Support Business and Population Health Insights - Ensure Data Quality, Integrity, and Performance for Reporting and Analytics - Extract, Transform, and Analyze Data Using SQL and Relational Database Systems - Design and Implement Data Models, Data Flows, and Visualizations for Reporting Solutions - Collaborate With Stakeholders to Identify Opportunities to Leverage Data for Business Decisions - Analyze Large Datasets, Including Healthcare and Claims Data, to Improve Processes and Outcomes - Use Tools Such as Python, R, SAS, and BI Platforms (E.g., Tableau) for Analysis and Reporting - Communicate Findings Through Presentations, Reports, and Visualizations to Technical and Non-technical Teams - Work Independently and With Cross-functional Teams to Deliver Data-driven Solutions

– Developed and deployed a car sales prediction model for BMW using machine learning techniques, leveraging historical sales data, demographic factors, economic indicators, and other relevant variables. – Incorporated time-series analysis techniques to capture seasonality, trends, and cyclic patterns in car sales data, enabling accurate predictions and forecasting. – Designed and developed interactive dashboards using tools like Tableau to provide real-time insights and visualizations on key performance indicators (KPIs) for BMW sales, inventory, and dealership performance. – Provided training and support to business users on how to effectively utilize the dashboards, enabling them to make data-driven decisions and extract maximum value from the visualizations and insights provided. – Automated a daily log checking workflow saving 3 hours of manual power using Blue Prism. – Developed ROBOTS using UiPath and Blue Prism to automate and accelerate 90% of standard business processes with minimum human intervention for remaining non-standard processes. – Automated and maintained a response and resolution system for SAP support issues using UiPath which reduced the manpower by 80 hours per week.