Aditya Kumar Email and Phone Number
~12 years of experience in data science and business analytics includes in consulting environment as well as captive, I have extensively exposure on data science projects in the business function of Healthcare (Payer & Provider) Analytics & Marketing Analytics, Pharmacoepidemiology Research-Real-World Evidence Analysis.Extensive exposure on Patient-centered outcome research, outcome and quality measure development and evaluation, quality improvement program implementation • Value-based care model development and implementation• Innovative clinical and payment model evaluation • Statistical and economic modeling • Managing and analyzing a variety of large-scale data sets, including healthcare claims, patient-level assessment data, and national longitudinal survey data.A quantitative researcher with advanced training in health economics, statistics and analysis of real-word data. A skilled team leader and project manager with experience executing projects, leading multidisciplinary teams in a matrix organization, and collaborating to support strategic initiatives and business development activities. -Extended expertise in data science by successfully completing "Executive program in Data Science" from "IIM-Lucknow"-Published multiple white papers towards using statistical methods in marketing campaign and product associations in retail industry. Industry Competencies: - Healthcare, Life Sciences, High-Tech, Retail, BFS. Functional Competencies ---Pharmacoepidemiology Research, Healthcare Outcomes / Real World Evidence Research leveraging real world data.-Marketing Mix Modeling/Marketing Analytics (Cross Sell, Up-sell models), Campaign ROI analysis.-Healthcare Analytics (Claims Denial, Fraud waste and abuse, Claims Overpayment, Claims -Review.-People Analytics (Employee Attrition Models, Call Center Effectiveness )-Credit Risk Modeling(PD), Campaign Response Modeling-Point of sales replenishment model Data Science Algorithms --- Supervised/Unsupervised Machine Learning Solutions.- Natural Language Processing- Deep Learning: CNN, RNN, LSTM based solutions i.e. image processing, OCR, speech recognition etc.- Healthcare Utilizations (Cost/Visit) Models Poisson, Negative Binomial Model, Gamma Model, Two Part Model MR/LR, Principal Component Analysis Technology Capability--- Python- Pyspark - RStudio, Rshiny- Cloud Computing - Azure ML- SAS- Teradata SQL Assistant - Analytics Visualization etc. Quality Credentials:- Certified Six Sigma DMAIC Green Belt from Genpact 2012
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Assistant Vice President - Life Science PracticeExl HealthJersey City, Nj, Us -
Assistant Vice President - Life Science PracticeExl Health Feb 2022 - PresentJersey City, New Jersey, United States- Leading and executing multiple projects on pharmacoepidemiology, health economics and outcomes research with pharmaceutical value assessment.- Operating a portfolio of HEOR research studies from research ideation to the development of the proposal, protocol, statistical analysis plan and study execution as the Scientific Lead on a multi-study research collaboration with a global pharmaceutical company.- Managing customer-facing meetings, conducting feasibility assessments and proposals to support business development activities.- Leading Investigator and Public Data Implementation projects for different clinical trials.- Development of cross-functional training materials and the training of new hires to SOPs, analytical/programming skills and methods.- Developed expertise in multiple therapeutic areas, including mental disease, pulmonology, and diabetes/opioid abuse etc. which are disseminated in academic journals and national conferences to support value demonstration of pharmaceutical products. -
Senior Manager - Real World Evidence & Data ScienceExl Health Feb 2021 - Feb 2022New Jersey, United StatesHealth Economics & Outcome Research Engagement : - Manage multiple HEOR projects, external & internal stakeholders and ensuring high level of scientific difficulty and alignment.- Executing different medical and HEOR strategies to demonstrate the value of products to payers, clinical decision-makers and patients.- Formulates, implements, tests, and validates predictive models and implements efficient automated processes for producing modeling results at scale.- Creates robust models based on statistical and data mining techniques to provide insights and recommendations based on large complex data sets.Marketing Analytics Enagagement:- Leading an initiative on analyzing the marketing efforts on retirements business for one of largest insurance player in US.- Attribution modeling to understand key drivers resulting in improved targeting for marketing efforts around acquisition, retention and cross selling.- Measure effectiveness of different marketing campaigns through business KPIs.- Establish ML based algorithms engine to develop Lead Scoring to prioritize follow-ups with much greater intelligence and automation allowing for improved conversion rates.- Presenting performance indicators through effective visualizations to the stakeholders.- Translating business requirement to project team for enhanced analysis. -
Senior Manager - Real World Evidence & Data ScienceExl Health Jan 2019 - Feb 2021Noida Area, IndiaLead a team of data scientists/consultants to deliver real world evidence and health economics projects from offshore and providing thought leadership from business delivery perspective to drive problem solving and bring a deeper level of curiosity to the analyses.Responsibilities Includes - Develop detailed analysis plans, tailored to business problems and manage projects ensuring exceptional quality, timely delivery, and client satisfaction.- Directly working with senior internal/external stakeholders in a highly consultative and responsive manner, to deliver high-impact analytical solutions to these health economic projects.- Lead discussions with stakeholders, identifying ongoing discovery and taking sign-offs in course of project delivery, and deliverable readouts/ presentations.- Recruit, manage and mentoring the new hires to bring them to speed in deliverables. -
Manager - Real World Evidence & Data ScienceExl Health Apr 2017 - Dec 2018Noida Area, IndiaEngaged in developing solution for top pharma organizations through HEOR research studies based on real world data (RWD) and providing insights and evidences based on that.Responsibilities Includes:- Architecting data analysis plan for different prospective & retrospective research to come with better healthcare products health outcome studies.- Using Real World Data (RWD) sources such as Claims data, EHR/EMR data, lab/diagnostic testing data, etc. analyzing patient cohort for different disease types (T2DM, NTM,MDD etc.) - Developing machine learning models to predict follow up utilizations such as healthcare cost, per member per month visits etc.- Running through multiple literatures/publications in order to design study criteria, understand different study factors etc.Studies Illustration:- Retrospective study for Type2 diabetes patients and assess statistical significant factors for value based contracts.- Prospective Research analysis on providers attributes recommending pneumococcal vaccination.- Propensity risk score matching for Opioid abusers vs Non-abusers and subsequent impact on healthcare utilizations. -
Senior Associate - Data ScienceCognizant Technology Solutions Sep 2014 - Apr 2017Gurgaon, IndiaRoles & Responsibilities:Leading a team of data scientist and delivering end to end analytics solutions to business problems through analytical methodology such as Claims Analytics, promotional ROI estimation, attrition analysis and predictive modeling, providing strategic and operational data-based insights to business.Developed automated sales and marketing dashboards, translating statistical/mathematical results into business recommendationsInvolved in technical Training for SAS/Statistics/R and hiring resource and project allocation.Key Projects :- Marketing Campaign ROI Measurement :- • Data discovery, segmentation, ROI measurement for U.S based financial services organization.• Test-Control methodology by matching customer to similar Control customer and estimating the impact of the campaign.Social Media Text Analytics to analyze Customer Sentiments.• Extracting comments from social media platform to capture the sentiment aspects of customer.• Developed propensity model to categorizing the comments into business knowledge to interpret the sentiment aspects.• Creating word clouds and developing automated tool and provide the business recommendations.Healthcare Claims Prediction :-• Identifying the healthcare claims which are at the risk of rejected for US based health care customer.• Predict the propensity of a claim line to be denied due to Authorization at the time the claim is filed (in time to process a retro pre auth).• Developed the automated tool to be used by operation team to get real time propensity scores.Employee Attrition Analysis:-• Identifying employees who are at high risk of employee attrition for one of the largest IT companies in India• Predictive modeling technique such as logistic regression was used to find most probable employees to attrite based on internal factors• Provided business recommendations to client on the basis of model results. -
Business Analyst- Analytics & Research ServicesGenpact Llc Apr 2012 - Jul 2014Gurgaon, IndiaStatistical Analysis:Part of statistical model development team in which involve in multiple statistical projects from multiple industries.Development of statistical Risk & Marketing Mix model, PD models using multivariate analysis, Logistic regression through (SAS 9.3)/Segmentation (CHAID/factor Analysis) etc.Performing descriptive analysis by slicing and dicing data by various parameters using SAS.Contributing positively to a dynamic team of analysts with skills including, risk, and consumer marketing & other advanced statistical methodology.Interacting with different businesses of the client to resolve model development methodology issues.Projects Undertaken:Propensity Model - Develop, build and implement statistical propensity models and pre-screening rule criteria for effective targeting of DM & email activity for Cards Acquisition campaigns. The models are based on a combination of bureau & collaboration with internal, external data suppliers to ensure accurate and optimal insight. I also liaise heavily with Risk colleagues to ensure strategy alignment and strong return on investment.Application Risk Scoring -A probability of default (PD) model for Credit card business.Marketing Mix Model-Development of Response model to target the right prospects from marketing campaigns.Incremental Sales Model-Development of incremental sales model for customers in credit card marketing campaignsQuality Control Analysis- Reducing Turn-around Time and lead time reduction for US Retail Giant. -
Senior Associate - Data ScienceCvent Jan 2012 - Apr 2012Gurgaon, IndiaResponsibilities includes project scoping and management, team management/ training, troubleshooting, content guidance and quality check. Data Mining in Marketing Projects,Pre/Post campaign management analysis, building models and measuring results to determine the effectiveness of each marketing activities through SAS/Excel/Access 2007. Data Analysis & Report generation through CRM tool like www.Salesforce.com for deducing project trends in view of competitors and other industrial constraints. Create, manage, and support marketing campaigns that drive sales leads. Working on the Cvent CRM tool and carrying out assigned tasks. Conduct market research on industry trends and developments.Marketing Modeling:-Customer Profiling in terms of retention, cross sell propensity, up sell propensity, identification of customer propensity to buy products and services of a superior range, develop a customer metric to calculate its Past Value and to estimate its Future Value and develop a complete segmentation structure for marketing activities. -
Associate - Data ScienceCvent Apr 2010 - Dec 2011Gurgaon, IndiaAdvanced and focused Internet research for industry segments, verticals, associations, corporations to expand share of market space.Internet research for contact information and building up and maintenance of the database with skills in imports, exports, data manipulation, reports and queriesI routinely work on complex/ tough/ pilot projects. I closely work with internal clients comprising Sales Team across regions to provide high-end customized research data in a fast-paced, collaborative environment.Brief Responsibilities: Managing intra-project database for retrieving data, Shipments, update, extracting different reports through Excel & Access. Conduct regular competitor analysis. Doing QA/QC on the data produced by the respective teams
Aditya Kumar Skills
Aditya Kumar Education Details
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Artificial Intelligence, Gen Ai -
Icfai Business School (Ibs) - GurgaonA+
Frequently Asked Questions about Aditya Kumar
What company does Aditya Kumar work for?
Aditya Kumar works for Exl Health
What is Aditya Kumar's role at the current company?
Aditya Kumar's current role is Assistant Vice President - Life Science Practice.
What schools did Aditya Kumar attend?
Aditya Kumar attended Carnegie Mellon University School Of Computer Science, Indian Institute Of Management, Lucknow, Icfai Business School (Ibs) - Gurgaon.
What skills is Aditya Kumar known for?
Aditya Kumar has skills like Sap Crm, Sap Implementation, Crm, Sap Erp, Requirements Gathering, Gap Analysis, Crm Web Ui, Sap, Data Migration, Business Process, Master Data, Sap Sd.
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Aditya kumar
Senior Data Engineer | Azure Adf | Azure Databricks | Sql | Apache Spark | Python | Scala | Snowflake | Apache Hive |Actively Looking For Senior Data/Software Engineer PositionsMckinney, Tx -
Aditya Kumar
Aurora, Il -
Aditya Kumar
Strategically Driving Public Health Initiatives With Advanced Analytics And Research Expertise | Mph | Epidemiology | Sas, R, Sql, Tableau | Enhancing Health Outcomes Through Data-Driven SolutionsAthens, Oh -
Aditya Kumar
United States4palantir.com, gmail.com, gmail.com, palantir.com -
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