Oct 2021 – Oct 2024 · 3 yrs · Bengaluru, Karnataka, India

• Implemented in-house automation scripts for GMS certification testing, leveraging Python to reduce certification time by 50%, from 4 weeks to 2 weeks, and improving overall workflow efficiency.
• Contributed to the successful beta rollout of the LearnStation product, writing and debugging code to support a smooth launch for 400 users. Achieved a high Net Promoter Score (NPS) of 8.3 through rigorous testing and performance tuning.
• Optimized LSP backend services in Python, achieving an 80% decrease in crash rate and a 50% reduction in replacement rate through efficient MySQL operations and AWS deployment

Jan 2020 – Jun 2021 · 1 yr 5 mos

• Developed and implemented the Forecast Engine in Python, that is scalable and resilient. Engaged with category heads of Flipkart to mentor them on integration touch points and RESTful API consumption and leading to a 97.10% improvement in Flipkart units coverage.
• Utilized AWS infrastructure, Apache Hadoop for big data processing, and implemented microservices architecture. Developed Python scripts to reduce inventory cover by 2 days and planning time by 93%, effectively improving Grocery MAPE by 6.9%.
• Created a forecasting product using Python, aimed at improving buying and inventory management. Utilized AWS for deployment, Apache Spark for data processing, and machine learning algorithms for accurate forecasting. Analyzed product metrics and implemented continuous improvements, receiving the 'Business Excellence Award' from the CEO for enabling effective forecasting across core categories during COVID-19.

Jul 2018 – Dec 2019 · 1 yr 5 mos

• Developed and piloted a sales feedback loop for a pricing system using Python scripts, deployed on AWS Lambda with scheduled execution using AWS CloudWatch Events. This solution enhanced ROI and reduced working capital during Flipkart’s 'Big Billion Days', improving accuracy and mitigating a US$ 20MM post-season inventory pile-up. Awarded 'Outstanding Performer' by the Vice-President for exemplary contributions.
• Developed and implemented machine learning models in Python for predictive combo offers at Flipkart. This method boosted sales of slow-moving products by offering strategic discounts on product combinations, effectively increasing overall sales.

Apr 2018 – Jun 2018 · 2 mos · Greater Bengaluru Area

• Programming for SSD storage system. Worked on Technologies U.2 & M.2 with programming language Python.

May 2016 – Nov 2017 · 1 yr 6 mos

• Analyzed real-time job failures using Python, performing regression analysis with pandas and scikit-learn to enhance system functionality and recommend scheduling improvements, resulting in a 20% increase in system performance.
• Developed Python scripts for data extraction and processing, collaborating with international teams from Morgan Stanley in the USA and Australia.

Dec 2015 – Apr 2016 · 4 mos

• Project Name: Online Rail System.
• Frontend: Java
• Backend: Oracle.
• Responsibilities: Most part of the time spent on this project was dedicated to implementing components for web module of the application and developing of its persistence layer. I've managed the connectivity between the client- and server-side components of the application by implementation of JSPs and servlets for it. My work with persistence layer included all steps of continuous DB improving and extending. Such work includes architecture issues, implementing requests to DB, managing existing DB structure, its optimization. Rest of responsibilities included implementation of the business logic layer and implementation of the presentation layer
• Project Name: Library Management System
• Frontend: Python
• Backend: MySQL
• Responsibilities: Project was designed to provide the facility of searching on the basis of student and member. It tracks all the information of Books, Librarian and Issues. It shows the information and description of student and member. Inserting, updating and deleting of student and member record is also provided. It also deals with monitoring the information and transactions of the issues.