Summary
Ajay Sharma is a data scientist with nine years of experience building end-to-end ML solutions across ecommerce, logistics, and enterprise settings, and is currently driving data science initiatives at IBM. He has a strong engineering foundation from roles at Quantiphi, Shiprocket and Blue Rose Technologies, delivering models for RTO reduction, NLP/chatbot systems, and image processing using Python, Java, SQL, AWS and deep learning. Ajay combines hands-on production skills (Flask, Spark, Kafka, Hadoop ecosystem) with a continual learning mindset—evident from coursework at IIT Kharagpur, Coding Blocks, Coding Ninjas and DataCamp—and a background that includes recovering from an IIT dropout to complete a BTech. Based in Delhi, he blends practical system-building with research curiosity, describes himself as a “computer geek” in love with technologies, and often bridges real-time data pipelines with applied AI solutions.
9 years of coding experience
5 years of employment as a software developer
Artificial Intelligence, Artificial Intelligence at appliedaicourse.com
SQL, SQL at DataCamp
Data Structures & Algorithms using Python, Data Structures & Algorithms using Python at Coding Ninjas India
Data Structures & Algorithms, Data Structures & Algorithms at Coding Blocks
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at DPG Institute of Technology and Management
Intermediate, Science Stream, Intermediate, Science Stream at S.S.L.T. Gujarat Sr. Sec. School
Bachelor of Technology - BTech, Computer Science, Dropout (due to accident), Bachelor of Technology - BTech, Computer Science, Dropout (due to accident) at Indian Institute of Technology, Kharagpur
Hindi, English