Developed ‘Demand sense’, a cloud-based platform for retail demand forecast. Worked with clients in Social Media Audience Profiling, market segmentation, predictive modeling, and text mining.

As solution lead of Rplus Analytics (an early-stage startup focussed on Retail demand forecast), lead a team of data scientists and full-stack developers for product development. Product capabilities:

• Real-time FMCG demand forecast and role-specific dashboard
• Integration with existing databases of client
• Cloud-based models for time-series forecast with MapReduce and parallel processing
• Customer segmentation and user profiling dashboards

Tools: R, Python, Apache Hadoop, Postgress, React