Resume
Basic explanation about my resume and my abilities.
Sumary
Kartikey Grover
Innovative and deadline-driven Data Scientist with 4+ years of experience data modelling and developing Pioneered opportunity sizing, identification of high-risk members, communications strategy and channels for quick 4-6 months launch and analyze final dollar savings for CVS.
- 45, Wall Street
- New York, NYC 10005
- +1 (732) 397-2818
- kg458@cornell.edu
Education
Master of Engineering & Biomedical Engineering
2015 - 2016
Cornell University
Master of Science & Biomedical Engineering [Paid GRA]
2013 - 2015
Stony Brook University
Bachelor of Tech & Mechanical Engineering
2009 - 2013
Indian Institute of Technology (IIT), Ropar, India
Research & Patents
Patent
2016
Indian Institute of Technology (IIT), Ropar, India
NPA#
201611004151Grover K. et al. Led team of engineers to work aligned with biomimetic research (professor) and stakeholder (doctor) for product scope, user group to design an intramedullary telescopic rod solving unmet need of bearing compressive and torsional loads in pediatrics with Osteogenesis Imperfecta. Successfully able to use Agile and Scrum principles for rapid iterations in designing MVP. Indian Patents Office, FER resubmitted:2020; NPA# 201611004151 .
Publication
2019
Grover, K., M. Hu , L. Lin , J. Muir , Y-X. Qin. 2019. J. Bone Miner. Metab. 37(6):1048-1057. [doi: 10.1007/s00774-019-01011-1.
Publication
2016
Grover, K., L. Lin, M. Hu, J. Muir, Y-X Qin. 2016. J Biomech. 2016. 49(2):161-166. [doi: 10.1016/j.jbiomech.2015.11.052.
Conference Talk
Oct 2019
Grover K et al, AMIA 2019; Cornell Inform.;
Comparison of Feature Selection Methods to Predict High-Cost.
Oct 2014
BMES Talk
San Antonio: Effects of osteoporosis on nano-mechanical bone strength in 3D.
Professional Experience
Product Owner, ConvergeHealth
March,2022 - Present
Deloitte, NYC,NY
- Gen AI: Leading the build of Generative AI chatbot within a cataloging platform to address client needs for data discovery and summarization by driving both product vision with leadership and ground work with data scientists.
- Multimodal:Driving build of a Multimodal cataloging and analytics tool for Genomics, RWD and Early stage R&D data by working on a high level roadmap with leadership and coordinating development activity with engineering managers.
- Miner Platform: Developing user stories, designing mockups and prioritizing product features/roadmap focussing for different user personas on Miner cataloging tool. Providing client demos and engaging with clients in conferences.
DATA SCIENTIST
Sept,2019 - March,2022
CVS,Aetna, NYC, NY
- Leading campaign launch in collaboration with stakeholders, marketing, legal, clinical and Engineering for cost savings with robust experiment design.
- Maintaining campaign backlog and prioritizing ideas along CVS OKR’s, impact. Using Scrum for iterations and hypothesis testing on channel, timing of messages and shifting from A/B testing to Bayesian multi-arm bandit.
- Readmissions: User group: Members discharged from acute inpatient stay. Pain points: Discharge instruction confusion and limited advice. CTA: follow-up with PCP. Go to market strategy: SMS, IVR, Direct Mail and live calls. Test metric: Readmission and follow-up rate. Impact: $300K savings in 4 months and 4.2% lift in test group by decreased readmission.
- Rx-adherence: User: cost savings for members within 6 chronic conditions. Pain points: Forgetting and cannot travel. CTA: pre and post fill reminders with mail delivery. Channel: SMS, IVR. Test metric: 90-day PDC, pharmacy fill rate. Impact: 8% lift in test pharmacy fill and statistically significant higher PDC using Optimizely.
- Covid: Reach members with high risk of COVID or risk of missing Cardiovascular, Diabetes appointment. Test metric: Covid Case Rate, HEDIS compliance. Channel: SMS, IVR. Impact: 2% reduction in cases and 3% lift in Statin Adherence.
CT- BIOMEDICAL SOFTWARE ENGINEER II
2018 - 2019
SEMA4, Stamford
- OHDSI App ver1: Headed Clinical Informatics for business case of converting health records (~8 million patients) at Mount Sinai into OHDSI Common Data Model. Worked with Dev-ops on building a Docker multi-user platform with RShiny for easy visualization of patient encounter timelines.
- This led to saved physician time (proxy test metric for convenience) by 20 minutes per patient in Immunotherapy and Targeted cancer therapy pilot group
NY- RESEARCH BIOSTATISTICIAN
2016 - 2018
WEILL CORNELL MEDICINE, NYC, NY
- • Provided Statistical and Modeling consultations to Clinicians and Residents on Design of Experiments, A/B testing, Power analysis, Supervised and Unsupervised Modeling leading to several publications and conference posters.