Principal Biostatistician at Novartis (India)
Biostatistics intern at Bristol Myers-Squibb
Statistical Consultant for Division of Geriatric Medicine, UNC Dept. of Medicine
Statistical Consultant for Quantum Governance, L3C, the Credit Union Executives Society (CUES)
Instructor at UNC-CH STOR
Teaching Assistant (TA) at UNC-CH STOR
Research Assistant (RA) at UNC-CH STOR
Responsibility: In Summer 2023, I worked at Bristol Myers-Squibb as a Biostatistics intern in the Oncology team of the Global Biometrics and Data Sciences (GBDS) division. My internship manager was Dipnil Chakraborty while my internship mentors were Ben Huang and Susan Parker.
Software and platforms used: R, RStudio, R Markdown, MS Office, Microsoft Teams.
Summary:
– I learned about the state-of-the-art techniques to handle missing data in statistics, particularly in pharmaceutical industries. I also read the standard guidelines followed all over the world, e.g., missing data guidelines by ICH and the European Medicines Agency.
– My manager and I realized that although there is a vast literature on missing mechanisms like Missing Completely at Random (MCAR) and Missing at Random (MAR), the most difficult mechanism of Missing Not at Random (MNAR) is almost unexplored. The existing methods of MNAR are not universally applicable and mostly rely on normality assumptions. Hence, we started working on a novel approach to fill up this void to the best of our abilities.
– We researched an advanced technique for handling missing data generated by the MNAR mechanism with the help of external data borrowing that improved the error metrics like Mean Integrated Square Error (MISE). We also developed the necessary R codes to implement our methods.
– This internship also gave me an opportunity to interact with members from different teams at BMS and learn how they work and grow together. I came to know a great deal about how the clinical and non-clinical teams, the early phase and late phase groups, and different branches like oncology, hematology, etc. operate not only in BMS but in general in pharmaceutical companies.
Responsibility and Teamwork: In Spring 2022, worked in a team of 5 members as part of the course ``Statistical Consulting" under the guidance of James Stephen Marron and Perry Haaland (My role: Code Manager and temporary team leader of the team). In Summer 2022, continued the work as a paid job in a team of 2 members under the guidance of James Stephen Marron and Perry Haaland.
Software and platforms used: R, RStudio, Tidyverse, R Markdown, Git, MS Office, Microsoft Teams, Slack.
Summary:
– Visualized and analyzed the huge NHATS clinical data in a team of 5 members to measure the impact of the frailty of older adults on their quality of life.
- Predicted frailty level using demography using statistical tools like FDA, PCA, ANOVA, Chi-squared test, etc.
- Led to writing the manuscript of a paper, presented in part at ICFSR 2022.
Responsibility: Worked as a statistical consultant as part of the course ``Statistical Consulting" under the guidance of James Stephen Marron and Perry Haaland.
Softwares and platforms used: Python, Jupyter notebook, Git, Latex.
Summary:
– Designed a survey and discovered significant relations among critical components like engagement, trust, and accountability in good governance for credit unions.
– Quantified impacts of credit union size and demography of employees on governance, suggesting necessary improvements.
– Created a report with proper data visualization to convey the technical findings to a non-technical audience.