Shubham Kakran

Shubham Kakran

Tech Lead @ Gupshup

About Shubham Kakran

Shubham Kakran is a Tech Lead currently working at Gupshup, where he has played a significant role in integrating machine learning models. He has previously held positions as a Senior Software Engineer, Senior Data Analyst, and Senior Business Analyst across various companies in India.

Work at Gupshup

Shubham Kakran currently holds the position of Tech Lead at Gupshup, where he has been employed since 2023. Prior to this role, he worked as a Senior Software Engineer 2 at Gupshup from 2022 to 2023. During his tenure, he played a key role in integrating machine learning models for advanced data attributes. He collaborated with cross-functional teams, including Conversation Media Marketing and Data Strategy, to establish market connections. His work has contributed to the company's technological advancements in the messaging and conversational AI space.

Previous Work Experience

Before joining Gupshup, Shubham Kakran worked as a Senior Data Analyst at NEWJ from 2019 to 2020. He also served as a Senior Business Analyst at Blinkit from 2015 to 2019, where he spent four years in Gurgaon, India. Additionally, he worked as a Senior Data Engineer at Bobble AI from 2020 to 2022. His diverse experience across these roles has equipped him with a strong foundation in data analysis and engineering.

Education and Expertise

Shubham Kakran completed his Bachelor of Technology (B.Tech.) in Electronics & Communications Engineering at Dr. A.P.J. Abdul Kalam Technical University from 2010 to 2014. He also studied at DAV Public School in Muzaffarnagar, where he achieved an Intermediate in Science from 2009 to 2010. His educational background provides him with a solid technical foundation, enhancing his expertise in software engineering and data analysis.

Technical Skills and Contributions

Shubham Kakran has demonstrated proficiency in data visualization and monitoring product feature performances using tools such as Grafana and Apache Flink/Spark. His contributions include integrating machine learning models and collaborating with various teams to enhance data attributes and market strategies. His technical skills support his roles in software development and data engineering.

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