NIVYA CHOUDHARY

Developed Flask endpoints for efficient back-end operations. Conducted data analysis using Python libraries to derive valuable insights. Undertook daily scrum meetings with onsite teams to ensure smooth project execution. Generated reports using Python libraries to provide actionable recommendations. Contributed to the development and maintenance of the inventory management system.

Created Python code for automated processing of complex employee presence data, ensuring accurate taxation reporting during business trips. Assimilated data from diverse sources within an Oracle-based corporate data lake, employing advanced preprocessing, statistical analysis, and predictive modeling techniques across international scenarios. Executed the complete automation of Personal Income Tax (PIT) report generation, focusing on data-driven decision-making processes. Worked closely with cross-functional teams to translate intricate internal requirements into effective data-driven solutions. Established project continuity by configuring user accesses in collaboration with IT, maintaining a strong emphasis on data security and privacy throughout the process.

Conducted manual testing of applications to ensure quality and functionality. Automated web application testing using Python Libraries Selenium and Puppeteer. Performed database testing using PostgreSQL by writing queries. Executed test endpoints using the Postman application for efficient API testing. Developed endpoints using Flask and SQL Alchemy to query data from databases.