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Prashant Patel

Solutions Director, Data Science and Artificial Intelligence at Novartis

Morristown, NJ

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About

Prashant Patel is currently Solutions Director: Data Science & Artificial Intelligence at Novartis. He has deep experience in Pharmaceutical Commercialization & Digital Transformation space with background in working with many external service providers in Data, Analytics and AI/ML firms. He has worked with internal stakeholders in Sales, Marketing, Brand, Medical, RWE, Clinical and Legal compliance functions to consult and advise. He is a decision maker in some projects while influencing other stakeholders to sway the decision; has his own budget while sometimes using other's budget for procurement. He has passion for advanced analytics solutions to Sales & Marketing, New Product Launch, Revenue & Spend optimization, Customer Targeting and NLP for Customer Insights. Recently changed gears to focus more on AI/ML Transformation initiatives to solve challenges like connecting Medical Scientific evidence via a Knowledge Graph, Business Process Re-engineering and Promotional creative asset evaluation using Machine vision that address productivity, innovation challenges or customer pain points. Trusted adviser to different customer groups & Business units, communicated complex analytics to various non-technical stakeholders, coached & developed teams using un-bossed servant leadership style.

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H1
IQVIA
Komodo Health
Clarify Health
DRG
Evaluate Pharma
Data Monitor
Global Data
Inventive Health
PPD
Truven MartketScan
Explorys
TriNetX
CloudMedX
PrognosAI
FlatIron
Definitive Healthcare
LiveRamp
Change Healthcare
Viant
Crossix
Veeva
Clarivate Cortellis
United Healthcare Optum
HealthVerity
DataVant
H1 Insight
Verix
HealthCatalyst
Syneous
ZS
Axtria
Indegene
Cognizant
Eversana
Sales Force
Kitewheel
Thunderspot
Thoughtspot
PatientsLikeMe.com
MyHealthTeams.com
Inspire.Com
Belong.Me
Aktana
PillPack
TruePill
CoverMyMeds Platform
McKesson Connect
EHR/EMR
Symphony
Concerto Health AI
Innovalon
Evidation
Picnic Health
Omada Health
OM1
Pharma Commercialization
Medical Affairs
Data Enablement
Innovalon
Acxiom
Epsilon
Neuroscience
Cardiovascular
Dermatology
Oncology
Respiratory
Work experience
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Apr 2019 - Present

Novartis

Solutions Director, Data Science & Artificial Intelligence

Lead Digital+AI transformation initiatives in different functional areas Re-imagine existing processes & leverage structured + unstructured data sources scattered and in-silo Collaborate with Customer groups, IT & Data Scientists to design & implement Health-Tech solutions Evangelize the use of Machine Learning & Data into the core operating model of business units, and identify specific use cases ripe for transformation Partner with Big-Techs like Amazon & Microsoft to leverage advanced technologies & tackle internal moonshots

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Dec 2016 - Apr 2019

Novartis

Director, Advanced Business Analytics

Led a team of experienced analytics and insights professionals with expertise in advanced analytics, digital analytics, managed markets & payer analytics and new products (pipeline) market research, forecasting and BD&L support Provide I&A guidance to the entire US Novartis portfolio of Pharmaceutical brands ranging from Oncology, Cardiovascular, Skin, Respiratory, Neuroscience, Opthamalogy and Generics.

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Jun 2013 - Dec 2016

Novartis

Associate Director, Digital Insights and Analytics

Measure ROIs of various non-personal digital programs across the portfolio of brands using advanced models; Led the development and presentation of results for promotional mix models that demystified true values of various promotional drivers of brand performance and ROIs Pioneered the application of big data predictive analytics to accelerate the adoption of new product launches by identifying the top HCP & Patient prospects Counselled Brand teams to identify growth opportunities by targeting attractive segments and guiding resource allocation; coached on ways to stretch brand budgets by suggesting media allowables that varied by customer value, channel affinity and price/Rx Advocated and championed the application of Tableau data visualization platform within GenMeds to efficiently communicate the data visually to various brand teams to aid decision making Partnered with the brand to build in-line monthly forecasting model to influence BU and Finance in various strategic planning initiatives such as LO/Budget, Strat Plan, Risk & Opportunities, etc Partnered with Digital teams to spearhead market research initiatives to uncover HCP perceptions of Novartis product websites, medical science liaisons, clinical trial design & iPhone Heart failure app

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Jun 2006 - Apr 2013

AbbVie

Associate Manager

Collaborated with Brand & Field teams to lead analytic initiatives and launch six indications of blockbuster drug HUMIRA that reached significant number of physicians & patients in the launch year Pioneered the creation of patient data center of excellence to drive sophisticated analytics that informed brand and field force initiatives across various therapeutic areas (Immuno, HIV, CV, Neuro, & Pain). Developed advanced patient forecasting models to triangulate with Rx and Sales Collaborated in the development of marketing mix models that teased out ROIs of various promotions (eg Journal, Digital, TV, Radio) in order to optimize resource allocation Conducted market segmentation and identified drivers of drug choice for physicians & patients to help position drugs in the target segments and accelerate the brand trajectory Managed 8 person offshore teams to conduct advanced analytics, design management dashboards and other performance monitoring systems

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Sep 2003 - Jun 2006

Abbott

Sr Analyst

Measure promotional impact of various marketing initiatives for brands in HIV space Conduct sales force effectiveness studies, alignment and territory/district sizing & balancing Develop brand performance trackers for products in HIV, Neuroscience and CV therapeutic areas

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Feb 2001 - Aug 2001

i2 Technologies

Applications Engineer

Education

University of Pune

Bachelor's degree, Mechanical Engineering

University of Wisconsin-Madison

Master's degree, Industrial Engineering & Operations Research

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