Divya Divakar
About Divya Divakar
Divya Divakar is a Team Lead in Market Research at Savant Labs, with a strong background in market analysis and generative AI. She has held various roles in market research and analytics across multiple companies, including Harness and FutureCorp Consulting.
Current Role at Savant Labs
Divya Divakar serves as the Team Lead for Market Research at Savant Labs, a position she has held since 2024. In this role, she focuses on leveraging generative AI for analytics automation, which aims to enhance the speed and efficiency of business outcomes. Additionally, she has been involved in projects related to cloud-native platforms and modern SaaS applications, contributing to the company's innovative approach in the market research domain.
Previous Experience at Harness and Propelo
Before joining Savant Labs, Divya worked at Harness as a Senior Market Research Analyst from 2023 to 2024. Her responsibilities included market research in areas such as CI/CD, STO, CCM, FF, and SEI. Prior to that, she was employed at Propelo, which was later acquired by Harness, where she also served as a Senior Market Research Analyst focusing on the SEI Module from 2022 to 2023.
Background in Market Research and Consulting
Divya has a solid background in market research and consulting. She worked at FutureCorp Consulting as a Team Lead from 2015 to 2020, where she led a team that specialized in providing tailored training solutions. Her earlier experience includes a role as a Market Research Executive at Compliance Trainings from 2014 to 2015 and a position as Senior Lead Generation at Scienaptic AI in 2020.
Education and Academic Background
Divya completed her Bachelor's degree in Computer Science after studying at SDMIT. She also attended Giri Jyothi Convent School, where she laid the foundation for her academic journey. Her educational background supports her expertise in market research analytics and technology.
Expertise in No-Code and Low-Code Solutions
Divya has developed expertise in creating no-code and low-code user experiences specifically for market research analytics. This skill set allows her to streamline processes and enhance the accessibility of analytics tools for users, contributing to more effective market research methodologies.