Ritesh Pal

Experience

• 

  JUSPAY

  Oct 2019 - now

  1. Analyzed large datasets using SQL BigQuery to extract, transform, and load (ETL) data for reporting and analysis.2. Created interactive Dashboards and Reports using RShiny, providing real-time insights into key financial metrics for executive stakeholders.3. Developed custom Data Visualizations using Highcharts, resulting in improved data comprehension and informed decision-making.4. Automate routine data tasks using R scripts, reducing data processing time by 30%.5. Assisted in the development of Data Pipelines for collecting and preprocessing Financial Data.6. Conducted Data Cleansing and Validation to ensure data accuracy and consistency.7. Created and maintained SQL queries and scripts for Data Retrieval and Analysis.8. Utilized R language to extract, clean, and analyze large datasets, leading to improved data accuracy and integrity.9. Collaborated with cross-functional teams to understand business requirements and provide data- driven insights for strategic decision-making.10. Optimized SQL BigQuery queries and performance-tuned database operations for efficient data retrieval and analysis.11. Collaborated with senior data analysts to perform Data Cleaning, Validation, and Transformation tasks using R .12. Managed the deployment of Data applications using Jenkins and RStudio Connect, ensuring seamless integration and continuous improvement.13. Supported the development of RShiny Dashboards for Real-time monitoring of key performance indicators (KPIs).14. Conducted exploratory Data Analysis (EDA) to identify trends and patterns in customer behavior.15. Created and maintained automated Data Appliactions using R and SQL, reducing manual data processing time by 20%. Show less 1. Collaborated with front-end developers to ensure seamless integration of features and user experiences.2. Conducted code reviews,promoted best practices in Haskell development.Utilized monads and functional programming principles to create robust and maintainable code.3. Developed and optimized backend services for Credit Application using Haskell.4. Worked closely with DevOps teams to deploy and manage Haskell applications on AWS, ensuring high availability and scalability.5. Created detailed test cases and test plans based on project requirements and design specifications.6. Conducted manual testing of software applications to identify defects and ensure functionality met established criteria.7. Performed functional, regression, and user acceptance testing to validate software performance.8. Documented and reported defects, tracking their status and ensuring their resolution.9. Performed API testing using Postman to validate API endpoints, requests, and responses.10. Reported and tracked software defects using bug tracking tools (e.g., Jira) and maintained defect logs. Show less

  • Data Analyst

    Apr 2021 - now

  • Technical Product Analyst

    Oct 2019 - Mar 2021