Venkatesh Pagidimarri
About
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Co-Founder & Chief AI Officer
Hyderabad, Telangana, India
Résumé
Jobs
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Co-Founder & Chief AI OfficerFoundation AIJul 2018 - Current (8 years)For organizations seeking to improve document processing accuracy, speed, and efficiency, Foundation AI delivers transformative AI-powered solutions that streamline labor-intensive processes, reduce costs, and optimize decision-making. Our transformative, AI-powered technology helps organizations easily identify, classify, and extract critical data from their documents, along with automate workflows, like document routing and escalation. Focused on the insurance, legal, and medical industries, our technology solution transforms how organizations work and succeed by leveraging advances in computer vision, natural language processing and machine learning.- ECo-founderEnlightiks Business Solutions Pvt LtdOct 2012 - Jul 2018 (5 years 10 months)Enlightiks was acquired by Practo in 2016. Co-founded Enlightiks with a vision to "give 100 million healthy lives back to humanity". Our Healthcare focused advanced analytics platform Querent caters to over 30 million patients across Asia and N. America. Querent has over 1000 dashboards and 100 predictive models out of the box which would be beneficial for Providers, Payers and Pharma companies. Querent today manages more than 300 Billion data points and also provides best in class NLP, Imaging Analytics, HEOR, RWE, Population Health and ACO SaaS-based modules.
- Assistant ManagerGenpactMay 2010 - Oct 2012 (2 years 6 months)Worked with GE Healthcare in pricing and marketing functions on Price sensitivity analysis, EBIT optimization, market mix modeling, ROI analysis, Customer segmentation, Churn prediction etc.
- Business AnalystCognizantJun 2008 - Apr 2010 (1 year 11 months)marketRx is an analytics provider for Pharma companies. Developed multiple predictive models for sales force optimization, sales force alignment, marketing spend optimization etc.
Education
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- Dual Degree (B.Techa and M,Tech, Mechanical EngineeringIndian Institute of Technology MadrasJan 2003 - Dec 2008 (6 years)
- SSri Chaitanya Jr CollegeSri Chaitanya Jr CollegeJan 2001 - Dec 2003 (3 years)
Projects (professional or personal)
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- CCRM tool for Sales Strategic Planning• The solution is to use the existing customer segmentation to devise the sales plan • Use the segmentation to develop a Penetration vis-à-vis Opportunities matrix (PO Matrix) • Use the PO Matrix to develop a Revenue vis-à-vis Margin matrix (RM Matrix) • This model will help in identifying the accounts that needs upsell, protection plan, re-evaluation of the relationship
Publications
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- MDevelopment of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic RetinopathyMedinfoAug 2017
- tAutomatic Detection of Tuberculosis using Deep Learning Methodsth IIMA International Conference on Advanced Data Analysis Business Analytics and IntelligenceApr 2017
- tPredicting Policy Renewal Probability in Auto Insurance Sectorth IIMA International Conference on Advanced Data Analysis Business Analytics and IntelligenceApr 2015We are entering a new phase of the information era, in which organizations query and analyze huge volumes of diverse data in real-time to improve outcomes for their most critical business processes. In today’s competitive edge, the concept of Predictive Analytics is used in every business sector. This paper discusses about how Predictive Analytics helps in increasing the policy renewal rate for Auto Insurance sector. Customer demographics data, Type of vehicle, historical claims data is used to understand the behaviour of customers in renewing the policies. The model identifies the parameters which impacts the policy renewal rates in customers. Customers were grouped in to High, Medium and Low segments based on their policy renewal probabil
- IPredicting risk of Rejection in non submitted claimsIIM AhmedabadApr 2015A 2011 study by the U.S. Government Accountability Office found that claim denial rates vary significantly among states and health insurers. Of the small number of states tracking such information, denials ranged between 11 percent and 24 percent of claims. The following are results from the National Health Insurer Report Card (NHIRC) years 2008-2013 that address denials. Percentages of claim lines denied: What percentage of claim lines submitted are denied by the payer for reasons other than a claim edit? A denial is defined as: allowed amount equal to the billed charge and the payment equals $0. Hence if a system is in place to predict the risk of rejection much before the claim is actually submitted, the percentage of rejection of claims
- tPredicting Risk of Diabetes in Non-Diabetic Populationth IIMA International Conference on Advanced Data Analysis Business Analytics and IntelligenceApr 2015
- IPredicting Policy renewal Probability In Insurance SectorIIM AhmedabadApr 2015This paper discusses about how Predictive Analytics helps in increasing the policy renewal rate for Auto Insurance sector. Customer demographics data, Type of vehicle, historical claims data is used to understand the behaviour of customers in renewing the policies. The model identifies the parameters which impacts the policy renewal rates in customers. Customers were grouped in to High, Medium and Low segments based on their policy renewal probabilities. This will help the insurers to identify their potential customers that are more likely to go for the policy renewal. The last section of the paper outlines the financial benefits in increasing the policy renewal rate using the predictive model.
- tPredicting risk of Rejection in Non-Submitted Claimsth IIMA International Conference on Advanced Data Analysis Business Analytics and IntelligenceApr 2015