Prashant Warier

CEO

Mumbai, Maharashtra, India22 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Artificial Intelligence and Deep Learning.
Co-Founder of multiple successful data science ventures.
Passionate about making healthcare accessible through technology.

Stackforce AI infers this person is a Healthcare and MarTech expert with a strong focus on AI-driven solutions.

Contact

prashant.warier@gmail.com LinkedIn

Skills

Core Skills

Deep LearningHealthcareArtificial IntelligenceData ScienceOperations Research

Other Skills

AnalysisAnalyticsAssortment RationalizationAutomated Diagnostic ReportsBehavioral EconomicsBehavioral TargetingBig DataBusiness AnalyticsBusiness DevelopmentBusiness IntelligenceCRMCustomer DNA ProfilingCustomer GenomicsCustomer Relationship Management (CRM)Customer Targeting

About

Prashant is an expert in the field of Artificial Intelligence and Deep learning. He has architected and commercialized several data science solutions in his 19 year career. He is also a prolific researcher, author, and speaker on topics related to data science and machine learning. He is passionate about using deep learning to make healthcare affordable and accessible.

Experience

22 yrs 6 mos

Total Experience

3 yrs 2 mos

Average Tenure

10 yrs 4 mos

Current Experience

Qure.ai

Co-Founder & CEO

Jan 2016 – Present · 10 yrs 4 mos · Mumbai Area, India

Making healthcare accessible and affordable using deep learning.
At Qure.ai, we use deep learning to interpret CT Scans, X-Rays and MRIs and create automated diagnostic reports. This will help radiologists make faster and more accurate decisions in developed countries and provide automated radiology support to physicians in rural areas, where radiologists are typically not available.

Deep LearningHealthcareAutomated Diagnostic Reports

Fractal analytics

Chief Data Scientist

Oct 2015 – Jan 2016 · 3 mos · Mumbai Area, India

Evangelize artificial intelligence and machine learning, build a world-class data science team and help our Fortune 500 clients adopt data science within their businesses.

Artificial IntelligenceMachine LearningData Science

Imagna analytics

Co-Founder and CEO

Nov 2012 – Oct 2015 · 2 yrs 11 mos · Mumbai Area, India

Imagna helps companies target their customers better through the power of Artificial Intelligence. Imagna's AdPersonix platform helps e-commerce companies unify multiple data sources (such as web, mobile etc.) and create a single profile and context for each customer. In combination with advanced machine learning technology, the customer profile and context can then be used to market to each customer individually using perfectly tailored display advertising or personalized E-mail, SMS and app notifications.
Imagna was acquired by Fractal Analytics in Oct 2015.

Artificial IntelligenceCustomer TargetingData UnificationData Science

Fractal analytics

2 roles

Vice President

Promoted

Jun 2012 – Jul 2012 · 1 mo

Led the retail practice and contributed to the architecture and development of Customer Genomics and systematic experimentation solutions.

Customer GenomicsSystematic ExperimentationData Science

Director, Optimization Services and Solution Development

Feb 2011 – Jul 2012 · 1 yr 5 mos

Responsible for the Retail client portfolio and for solution development across domains. Responsible for the development of a patent-pending technology for labeling a customer on various Customer DNA attributes based upon a learning algorithm which runs against the past transactions of the customer. Such a Customer DNA profile can be used to target individual customers and give customized email and Point- of-Sale offers to each customer.

Solution DevelopmentCustomer DNA ProfilingData Science

Sap

Senior Research Scientist

Feb 2007 – Apr 2011 · 4 yrs 2 mos · Scottsdale, AZ

Architected, developed and delivered data science solutions in Retail and Consumer Packaged Goods. Contributed towards building a team of data science leaders across US, Germany, and Romania. Developed and implemented a patent-pending Markdown Optimization solution for the Fashion industry. Developed solutions for Demand modeling, Key value item analysis and Assortment Rationalization among others.

Data Science SolutionsDemand ModelingAssortment RationalizationData Science

Georgia tech

Doctoral student and Graduate Research Assistant

Aug 2003 – Dec 2006 · 3 yrs 4 mos

Developed solutions which optimize linehaul operations for trucking networks. The optimization techniques focused on three major areas – Freight Routing (how a specific shipment should be optimally routed from origin to destination in a very large trucking network), Load Planning (optimal strategy for packing shipments into truckloads to achieve maximum fill rates) and Driver Assignment (optimally assigning drivers with their DoT specified and personal constraints to these truckloads).

Optimization TechniquesFreight RoutingOperations Research