Chhavi Tyagi

Chhavi Tyagi's work experience includes the following:

- Data Science Modeling and Simulations Intern at Sage Therapeutics (2023 - present).

- Peer Reviewer at Elsevier (2023 - present).

- Graduate Research and Teaching Assistant at New Jersey Institute of Technology (2019 - 2023). Worked on projects related to multi-label classification and type I error control in imbalanced labels.

- Data Science Intern at Johnson & Johnson (2022).

- Biometrics Intern at Shionogi Inc. (2021). Reviewed TLF shells, SAP, and CRF for a clinical trial study and worked on safety graphics.

- Data Scientist at Central Board of Direct Taxes, Ministry of Finance, Government of India (2017 - 2018). Worked on data cleansing, exploration, and prediction of tax evaders using data mining and statistical modeling.

Overall, Chhavi has experience in data science, modeling, simulations, peer reviewing, research, teaching assistance, and data analysis in various industries including pharmaceuticals and government.

Chhavi Tyagi's education history is as follows:

Chhavi Tyagi completed a Bachelor of Science (BS) degree in Physics from Hindu College, University of Delhi from 2008 to 2011. Chhavi then pursued a Master of Science (MS) degree in Physics from the same college from 2011 to 2013.

Afterward, they enrolled at New Jersey Institute of Technology and obtained a Master of Science (MS) degree in Data Science with a focus on the Statistical Track from 2018 to 2019. Chhavi continued their education at the same institute and is currently pursuing a Doctor of Philosophy (PhD) degree in Mathematical Sciences with a specialization in Applied Probability and Statistical Track. This program started in 2019 and is expected to be completed by 2023.

In addition to their academic degrees, Chhavi Tyagi has obtained several certifications. Some of these certifications include "Bayesian Statistics: From Concept to Data Analysis" from the University of California, Santa Cruz in June 2022, "SAS Essential Training: 2 Regression Analysis for Healthcare Research" from LinkedIn in March 2021, and "Artificial Intelligence Foundations: Machine Learning" from LinkedIn in February 2021.