Sarvesh Bhumkar

Experience

• 

  Cognizant

  Jan 2021 - May 2021

  Programmer Analyst Trainee

  • Supported healthcare data transformation tasks by automating data pipelines, enabling fraud and anomaly detection in reporting systems.• Designed workflows using Power Automate and Power BI to streamline reporting processes and improve visualization accuracy.• Conducted SQL-based analysis to validate data integrity, ensuring adherence to privacy protocols for sensitive datasets.

• 

  Cognizant

  Aug 2021 - Jul 2023

  Programming Analyst

  • Designed and developed SPFx web parts using React.js and TypeScript, improving data presentation and usability for over 10,000 users.• Optimized SQL queries in healthcare systems, reducing query execution time by 25% and detecting patterns related to fraud prevention.• Created real-time Power BI dashboards for insights into healthcare data, enhancing fraud detection and operational monitoring.• Developed and maintained data transformation pipelines using SQL and Python to handle large-scale healthcare datasets.• Collaborated with cross-functional teams to implement SharePoint-based cloud solutions, improving client engagement and satisfaction.• Leveraged automation tools like Power Automate to streamline workflows, enhancing system efficiency by 25%. Show less

• 

  Radical AI

  May 2024 - Aug 2024

  Software Engineer Intern

  • Built interactive Power BI dashboards to monitor and optimize AI model performance, improving operational efficiency by 30%.• Presented actionable insights from AI model analysis to stakeholders, influencing key decision-making processes.• Analyzed large datasets for performance optimization and applied security measures to safeguard data streams against misuse.• Enhanced AI models using TensorFlow and Scikit-learn, reducing processing time by 25% and implementing anomaly detection to ensure data quality.• Integrated Apache Kafka for real-time data streaming, increasing data timeliness and model accuracy by 20%.• Developed CI/CD pipelines for seamless ML model deployment, ensuring scalability and reliability in production. Show less