Soumi De
About Soumi De
Soumi De is a Data Scientist and Research Scholar at Christ University, Bangalore, with extensive experience in data science and analytics across various industries. She has led significant projects and contributed to the academic community as a reviewer for computer science journals.
Current Role at Christ University
Soumi De is currently a Research Scholar (PhD) in Data Science at Christ University, Bangalore. She has been in this role since 2020 and is expected to complete her research in 2024. Her work focuses on advancing knowledge in the field of data science, contributing to both academic and practical applications.
Experience at SiteMinder
Soumi De has held multiple roles at SiteMinder. She served as Senior Manager, Insights & Analytics from 2017 to 2020, where she managed analytics projects. Since 2020, she has transitioned to the role of Data Scientist, continuing to apply her expertise in data analysis and insights generation.
Educational Background
Soumi De has a strong educational foundation in computer science. She earned a Master in Computer Applications (MCA) from Visva-Bharati and a Post Graduate Diploma from the Institute of Management Technology, Ghaziabad. Additionally, she holds a Bachelor of Science (B.Sc.) from St. Xavier's College (Autonomous), Kolkata.
Previous Work Experience
Soumi De has a diverse work history in data management and analytics. She worked at HSBC in Information Management for eight months in 2007-2008, followed by a role at Medi Assist India Pvt Ltd for eleven months in 2010-2011. She also gained experience at Oracle and VMware in Business Intelligence roles, and served as a Software Engineer at UshaComm for four years.
Key Projects and Contributions
Throughout her career, Soumi De has led significant projects such as Customer Sentiment Analysis, Customer Churn, and Monthly Revenue Forecasting. These projects demonstrate her ability to apply data science techniques to address real-world business challenges. Additionally, she contributes to the academic community as a reviewer for articles in computer science journals.