Rani Barman

Led end-to-end market research and category intelligence projects using Agile methodologies, optimizing Snowflake queries for efficient data processing in high-profile client engagements. Managed supplier intelligence, category analysis, and regional trade research for procurement decisions, applying AI/ML data classification for vendor categorization and risk profiling.

Planned and executed research sprints, translating client requirements into analytical outputs using Snowflake optimization for large datasets in emerging technology and healthcare areas. Conducted supplier discovery, customer segmentation, pricing analysis, and market trend assessments for portfolio optimization, applying AI/ML classification to segment 500+ suppliers by risk profiles.

Led stakeholder interviews and requirement-gathering to align outputs with business objectives, using NLP-based classification to categorize feedback themes and prioritize prototype enhancements. Performed data clustering and supervised classification on supplier datasets to identify patterns and risks, supporting procurement analytics for public enterprise clients.

Extracted and structured data from Salesforce, Bloomberg, and Statista for large-scale databases, tuning Snowflake queries to create 50K+ supplier profiles across FMCG and tech sectors. Developed quantitative reports and forecasting models using Excel and Qlik, implementing basic ML classification for insights predicting market shifts in client RFPs.

Pursuing an MBA in Analytics and Data Science from Manipal University Jaipur.

Bachelor of Engineering in Electronics and Communication Engineering from Technocrats Institute of Technology.