Apurva Desai

Apurva Desai has a diverse work experience spanning multiple companies. They began their career as a Risk Analytics Management Trainee at HDFC Bank in 2014, where they worked until 2015. Following this, they joined HDFC Bank's Model Building Team as a Risk Analytics Manager. In 2016, Apurva worked as a Data Analyst Intern at American Savings Bank.

In 2017, Apurva started working at Florida State University as a Graduate Teaching Assistant. They held this position until 2020, with a brief period as a Graduate Research Assistant. During their time at the university, Apurva also worked as a Data Science Intern at Liberty Mutual Insurance.

In 2019, they joined Travelers as an Advanced Analytics Intern for a few months. Apurva then rejoined Travelers in 2020, first as a Senior Consultant in Data Science and later as a Senior Associate Data Scientist. They stayed with the company until the end of 2022.

Most recently, Apurva began working as a Data Scientist II at TraceLink in 2023.

Apurva Desai has an extensive education history in the field of statistics. Apurva began their undergraduate studies in 2009 at the University of Mumbai, where they obtained a Bachelor of Science (B.Sc.) degree in Statistics in 2012. Apurva continued their education at the same university and completed a Master of Science (M.Sc.) degree in Statistics from 2012 to 2014.

In pursuit of further academic and professional development, Apurva then enrolled in the Florida State University. Between 2015 and 2020, they completed a Doctor of Philosophy (PhD) degree in Applied Statistics. This program provided their with a comprehensive understanding of advanced statistical theories and methodologies.

Apurva also obtained several certifications to enhance their skillset. In 2017, they completed the "SAS Programming and Data Analysis" certification from SAS and Florida State University, focusing on data analysis using SAS software. Additionally, in 2018, they completed multiple courses offered by Coursera, including "Convolutional Neural Networks," "Deep Learning Specialization," "Sequence Models," "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning." These certifications helped Apurva gain expertise in machine learning, deep learning, and other advanced data analysis techniques.

Furthermore, Apurva has an interest in Python programming for data science. Although it is not specified when and where they obtained the certification, they completed an "Intro to Python for Data Science" course from DataCamp.

Overall, Apurva Desai's education history showcases their dedication and commitment to acquiring in-depth knowledge and skills in the field of statistics, specifically in applied statistics, machine learning, deep learning, and data analysis.