Satyam Sinha

Project Engineer

Wipro•  August 2018 - Present

QUICK LINKS: Technology: Python3, Django, Pandas Database: SQLite/MongoDB Cache: Redis Cache Work: 1. Coded a performant algorithm to store and retrieve employee specific data on and from database. 2. Stored most frequent users' data on Redis Cache to reduce latency and used LRU algorithm to remove users from Cache . 3. Configured Microsoft Azure PaaS server for the project and deployed the code with the help of Server team. 4. Coordinated with multiple teams simultaneously to incorporate the changes for API calls. ALIGHT HOLMES - Technology: Python3, Django, pandas, beautifulsoup, asyncio Database: PostgreSQL Work: 1. Automated manual task of updating masker file from multiple tables using 2. Python and Pandas thus, completing the task in 2-days than a week. 3. Optimised project code to reduce response time and improve timeout error by searching in a set than a list/array and using asyncio function for multiple API calls to other APIs.