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Rahul Swarnkar
Immediate Joiner | Reach out if you've Full-Time position for Data Scientist | Data Analytics | Machine Learning Engineer| Python Developer roles.
About
Rahul Swarnkar is a highly motivated and skilled professional with 2 years and 11 months of experience in the IT industry as a Software Application Developer. He is currently seeking a challenging opportunity in Python Developer, Data Analyst, Data Scientist, or Machine Learning Engineer roles. Rahul is LOMA-281, LOMA-291, and FLMI Level-1 certified and completed his Bachelor of Engineering (B.E.) in Computer Science & Engineering from Birla Institute of Technology, Mesra, Ranchi (INDIA) in 2019. Currently working at DXC Technology as a Software Application Developer, Rahul is responsible for Data Analysis, Code Analysis, Development, Debugging, Documentation of all activities, and Implementation of Upgrades/Enhancements of existing/new Batch/Online modules. He is also skilled in using RDBMS, SQL, Python, Excel, and Word to perform work-related activities. Rahul has experience working on the AWS Cloud platform using Python, Unix Shell Script, Git/Github, etc. in Agile methodology. In the past, Rahul has worked as a Member at UNA-USA SD and as Support at Mozilla. At Mozilla, he interacted with people with their queries and put a crisp response as a solution through his intuition. Rahul's tech stack includes ML, Python, Data Scientist, Research Scientist, SQL, and AWS. He has relevant experience of 3.87 years and is looking forward to working in a highly motivating and challenging environment where he can learn, understand, innovate and implement concepts, thereby enhancing his experience continuously and be a better Professional as well as a better person. Rahul is a positive and vibrant contributor to his organization through his work, experience, and proficiency in grasping new technical concepts.
Education Overview
• bit mesra birla institute of technology
Companies Overview
• cognizant
• dxc technology
• applied ai course
• mozilla
• unausa sd
• world wildlife fund
Experience Overview
7.2 Years
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