Vishvendra Singh

Developed an AI Dashboard that generates charts showcasing client information in response to natural language queries. Created I2P, a system that calculates the likelihood of a physician prescribing a medication based on campaign characteristics. Developed a Contextual Recommendation System that uses NLP capabilities to suggest relevant medical keywords related to a given input keyword. Developed a Python tool that uses a pipeline approach to generate reports, significantly reducing the time required for operations by 95% and the QA pipeline. Development of Foresight Using probability models. Made a data pipeline to gather physician data from different source and put it into database for ad-serving. Made a Physician data graph to convert physician data into transactional data.

Models built on customer segmentation and customer lifetime value models reduce customer churn rate by 50%. Reduced processing time by 98% by automating Python scripts using Selenium, and BeautifulSoup, Collected, and consolidated data on publishers and our competitors, and stored it in our CRM for the consumption of the Marketing and Publisher Development teams. Gap analysis and performed enrichment of contact details for the named accounts list of generic, competitors, and existing AdPushup site lists. Automate website for Google policy violations for AdSense, AdX, and Google Ad Manager by 75% by developing a program using Scrapper and NLP. Made a recommendation model with the data team for SSP to help the publisher to make a more informed decision.

Scraped data for 50k articles from leading media houses. Developed visualization in data science workflows. Conceptualizing and designing analysis project reports. Developed Credit Risk model for micro-financing client. Analyzed and developed visualizations for customer retention of leading E-Commerce companies in India Developed fake news detection models. Development of NLP model for review rating prediction of E-commerce website.