About

Mukesh Kumar is a Software Engineer currently working at Jio with 3.03 years of relevant experience. He has previously worked at Genpact as a Software Engineer and at Eko as a Business Analyst. Mukesh completed his Bachelor of Technology in Textile Technology from Indian Institute of Technology Delhi in 2020. He also holds a Minor Degree in Business Administration, Management and Operations from the Department of Management Studies, IIT Delhi. Mukesh is skilled in creating Java and Python APIs and has experience in SQL, including creating select queries using subquery, union, group by, triggers, and functions for insert and update statements. He is also familiar with Git commands. Mukesh has a keen interest in data science and machine learning and has experience in creating ML models, including Linear Regression, Logistic Regression, Polynomial Regression, and Time Series Forecasting. At Genpact, Mukesh worked on the Export to Excel Project using Python and Flask, where he created the API for downloading the Excel file from the UI. He also worked on the Sourcing360 Project using Java and Spring Boot, where he created Get, Update, Insert, Delete, Email Trigger, and Global Filter APIs using the Spring Boot framework. Mukesh used JdbcTemplate to connect to the database and execute SQL queries, performing select, insert, update, and delete operations. He also worked with PostgreSQL and Solr, creating select queries using subquery, case, union, group by, triggers, and functions for insert and update statements. As a Business Analyst at Eko, Mukesh analyzed and documented the workflow of the company's existing products for better estimation of the market size for each service. He also performed competitive benchmarking analysis on key market competitors and suggested six new mini services to the team. Mukesh worked with the data analytics team on revenue growth of the AePS service and conducted its market landscape analysis. He inferred existing AePS data from Kibana and drafted a detailed report on product usage patterns to enhance product efficiency. Mukesh is always eager to learn new skills while working and loves reading non-fictional books. His tech stack includes Software Engineer, SQL, Python, Java, ML, Spring Boot, Spring, Flask, UI, Web, Data Scientist, and Pandas.