Vishal Rambilas Gupta

Worked with various retailer and commercial data, that involves converting the business requirements into data science solutions. Delivered scalable solutions for market research use-cases such as sales forecasting, product life cycle estimation, the matrix of competitors, price elasticity estimation, price promotion insights, and recommendation system to identify market opportunities. Scaled data science solutions using PySpark, RSpark, and Spark using Scala, Tableau dashboards, Shiny apps, and Plotly.

Project: Consensus Clustering for Topic Detection. Proposed a scale-able approach of combining multiple word clustering results of the same word data set into one ensemble and topic detection.

Bi/Multi modality based feature selection, Audio Content Analysis, Facebook and Twitter data extraction for Natural Language Processing, Sentiment Analysis & word Clustering.

Developed features using C++ and defect fixing. Followed Agile methodology, mentoring and direct client interaction for requirement gathering and business understanding.

Machine Learning