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Divy JoshiR, Python, SAS, ML, AI
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A passionate Data Science Enthusiast with 2.3 years of broad-based professional experience. Proficient in predictive modeling, data processing, data mining algorithms, and scripting languages, including SAS, Python, R, and SQL. Capable of creating, developing, testing, and inferring highly adaptive diverse services to translate business and functional qualifications into concrete deliverables. My teaching style is unique focusing on both theory and practice together with cleared basic concepts so that students can understand better and clear. I have taught around 50+ students, taught them R, Python, SQL, SAS, Data Analytics, Statistics and Mathematics.
Subjects
SAS Clinical Expert
R & Python Expert
Experience
Data Scientist (Jul, 2023–Oct, 2023) at Minutia AI
Conducted groundbreaking research in microbiomes. Utilized Machine Learning (ML) and Deep Learning (DL) methodologies. Developed a state-of-the-art model to predict microbiome chronological age. Contributed to advancing knowledge about the microbiome’s impact on health and aging.
Statistical Programmer (Jun, 2021–Jul, 2023) at CBCC GLOBAL RESEARCH LLP
Developed Macros to create listings, tables, and figures aligned with the Statistical Analysis Plan (SAP) and mock shells. Managed diverse safety endpoint tables, covering Demographics, Adverse Events (AE), concomitant medication, Disposition, and Change from Baseline, showcasing adaptability in clinical data analysis. Extensive experience in validating data for safety and efficacy studies, including Adverse Events, Concomitant Medications, Laboratory Data Values, and Vital Signs, ensuring data accuracy and regulatory compliance. Proficient in generating CDISC-compliant datasets per SDTM (Study Data Tabulation Model) and ADaM(Analysis Data Model) standards, simplifying regulatory submissions and industry adherence. Produced regulatory-compliant outputs for multiple agencies, including DCGI, ANVISA, and FDA.
Education
MSC DATA SCIENCE (Jun, 2022–Dec, 2023) from Christ University, Bengaluru–scored 3.6