Initially only 30% of sales reps notes were analyzed to generate insights but with this cognitive solution using NLP & Machine Learning can classify 100% volume of Notes into relevant categories to generate business metrics and insights. Highcharts is used for visualization of plots and charts

Identification of high potential physician for Pharma Sales targeting using Predictive Analytics. Used Statistical and Machine learning techniques like the Chi-square test, Recursive Feature Elimination(RFE), Feature Selection, Logistics Regression, and Random Forest. Python-based tool integrated with Power BI for dashboard and visualization

Python and IBM Watson knowledge studio based solution which extracts meta-data from intakes captured on phone or non-phone (pdf, docs, HTML) and compare it to IRPC data. The tool enables the customer to review all the cases, earlier only 5% of the total cases were reviewed.

Python solution which detects discrepancies in scanned PDFs like wrong orientation, blank pages, black pages, merged pages with the help of Image Processing. Tools cuts time and cost for checking discrepancies in scanned PDFs.

This is a text mining-based solution developed using Python which extracts meta-data from abstracts of clinic trails such as Author, patients, causality and other data to validate abstracts using NLP, N-grams, Regex, D3js.

Python based solution which extracts meta-data from SMPC documents and Argus Database using SQL in a Report Template .Tool Cuts lot of time and cost and overcome all human errors

A recommendation system based on unsupervised Machine Learning which uses LDA & Jensen-Shannon Divergence to find similar documents from a database to the selected document.