Tushar Bansal Email and Phone Number

Collaborated with the Indirect Taxation team to leverage Alteryx for constructing intricate workflows, integrating macros to develop sophisticated analytical applications. Engineered applications tailored for reconciliation processes and handling diverse GST forms .

• Leveraged SQL and BigQuery to extracted and processed relevant data points, such as skill scores and player preferences to enhance the user experience by implementing a more efficient and engaging player matching system.• Used tools like Tableau and Excel to assess factors such as user retention, engagement, and satisfaction. Additionally analysed the A/B testing results to compare the performance and user experience metrics of the existing matchmaking approach with the newly implemented ML-based system.• The analysis provided valuable insights into By measuring the changes in key performance indicators, how the introduction of ML-based matchmaking affected user retention.

• Developed prototypes for automation and web crawling. The primary objective was to assess whether transitioning from Selenium to Cypress for automation and web crawling purposes would be advantageous for Merkle.• The total execution time taken by cypress to webscrap 20 sites was 2.5x faster than the time taken by selenium and 4x in case of E2E testing. A report was presented to the investors compiling of all the results showcasing the benefits of Cypress, including its streamlined syntax, faster execution times, robust debugging capabilities, and improved developer productivity.

• Worked with clients in the telecommunications sector. Working with large datasets, I ensured that the data was accurate, consistent, and free from any inconsistencies or errors. This involved data validation, filtering, and transforming the data to make it suitable for analysis.• Was involved in working with telecommunications clients, calculating crucial metrics, and presenting insights through interactive dashboards created using Tableau and Power BI.

Member of the ODHS (On Board Data Handling Subsystem) subsystem which works on the various algorithms that are required to effectively process and use the acquired data and also ensure that the tasks of the satellite run in an ordered manner.