Deepanshi Shokeen
About Deepanshi Shokeen
Deepanshi Shokeen is a Senior Data Scientist specializing in Precision Medicine at Aitia, with a background in Health Data Science and Economics. She has experience in predictive modeling, A/B testing, and delivering client-facing products, contributing to decision-making for stakeholders.
Current Role at Aitia
Deepanshi Shokeen serves as a Senior Data Scientist (Research Scientist) in Precision Medicine at Aitia. She has been in this role since 2022, contributing to the development of innovative solutions in the healthcare sector. Her responsibilities include conducting advanced data analyses and developing predictive models tailored for precision medicine applications.
Previous Experience at Aitia
Prior to her current position, Deepanshi worked as a Data Scientist (Research) at Aitia from 2020 to 2022. During this time, she conducted A/B tests to evaluate the effectiveness of novel biomarkers and scaled predictive models for various use cases. She also delivered client-facing products utilizing Bayesian network modeling and simulation platforms.
Educational Background
Deepanshi Shokeen completed her Bachelor's degree in Economics at Delhi University from 2015 to 2018. She furthered her education by obtaining a Master's degree in Health Data Science from Dartmouth College, where she studied from 2018 to 2020. Her academic background provides a strong foundation for her work in data science and precision medicine.
Internship Experience at Bata India Limited
In 2017, Deepanshi Shokeen interned as a Business Analyst at Bata India Limited for two months. During her internship, she designed and implemented predictive and causal models aimed at identifying key leverage points in the user journey. This experience contributed to her analytical skills and understanding of business processes.
Research Contributions
Throughout her career, Deepanshi has led exploratory analyses that have influenced decisions among both internal and external stakeholders. Her work in data science emphasizes the application of statistical methods and modeling techniques to derive actionable insights in the field of precision medicine.