Sonam Bhadauria
About Sonam Bhadauria
Sonam Bhadauria is the Lead Data Scientist for APAC at SparkBeyond, where she has worked since 2021. With a background in statistical modeling and machine learning, she has held various roles in data science and software engineering across multiple companies in India and Singapore.
Current Role at SparkBeyond
Sonam Bhadauria serves as the Lead Data Scientist for the APAC region at SparkBeyond. In this role, she has been responsible for leading data science initiatives since 2021. Her work focuses on applying advanced analytics and machine learning techniques to solve complex business problems. She utilizes her expertise to drive data-driven decision-making and enhance operational efficiency within the organization.
Previous Experience at Traveloka
Prior to her current position, Sonam worked at Traveloka as a Senior Data Scientist for a brief period in 2020. During her time in Singapore, she contributed to data science projects aimed at improving customer experience and operational processes. Her role involved leveraging data insights to inform business strategies.
Experience at Lazada Group
Sonam was employed at Lazada Group as a Data Scientist from 2018 to 2020. In this capacity, she focused on developing data-driven solutions to enhance e-commerce operations. Her work included the implementation of machine learning models and statistical analyses to optimize customer engagement and sales strategies.
Background in Actuarial and Data Science at AXA
From 2015 to 2017, Sonam worked as an Actuarial/Data Science Consultant at AXA in Bengaluru, India. Her responsibilities included applying statistical modeling techniques to assess risks and inform insurance products. This role allowed her to deepen her expertise in data analysis and predictive modeling.
Educational Qualifications
Sonam Bhadauria holds a Bachelor of Engineering (B.E.) degree in Computer Science from Netaji Subhas Institute of Technology. Her educational background provided her with a solid foundation in technical skills and analytical thinking, which she has applied throughout her career in data science and analytics.