Sushant Kulkarni

Sushant Kulkarni has a diverse work experience in various roles in the field of data science and analytics.

Starting in 2016, Sushant joined Tiger Analytics as a Senior Analyst, where they developed a text analytics framework for classifying chat transcripts and social media conversations. Sushant also implemented market buzz word analysis, topic modeling, text summarization, and sentiment analysis. Sushant worked on transforming the outputs of the framework into a user-friendly interface.

In 2018, Sushant was promoted to the role of Data Scientist at Tiger Analytics. Here, they built a Cox Regression model to predict the duration of return to work for long-term disability insurance applicants. Sushant also developed a multi-class classifier to classify small businesses into more than 200 risk codes using textual and firmographic data for a P&C insurance company.

Continuing their growth, Sushant became a Senior Data Scientist at Tiger Analytics in 2020. In this role, they led a team in the development of a framework for augmenting life insurance underwriting processes using analytical approaches. The framework included RFM and text-engineered features based on GBM models, an ordinal risk classifier, mortality cost optimizers, and SHAP modules. Sushant was responsible for deploying the entire framework with extensive model monitoring and bias detection capabilities.

Sushant's most recent role at Tiger Analytics is as a Lead Data Scientist, which they took on in early 2022. As the lead, they are now responsible for guiding the team in their work.

Prior to joining Tiger Analytics, Sushant pursued their education and research. Sushant was a Graduate Student at the Indian Institute of Technology, Madras, from 2014 to 2015. Before that, in 2013, they worked as a Research Associate at the Indian Institute of Science.

Overall, Sushant Kulkarni has demonstrated a strong expertise in data science and analytics through their work experience at Tiger Analytics and their educational background.

Sushant Kulkarni has a solid educational background in the field of Electrical and Electronics Engineering. Sushant obtained their Bachelor of Engineering (B.E.) degree from Visvesvaraya Technological University, where they studied from 2009 to 2013. After completing their undergraduate studies, Sushant pursued further specialization by enrolling in the Indian Institute of Technology, Madras between 2014 and 2015, where they earned their Master of Science (M.S.) degree in Electrical and Electronics Engineering.

In addition to their formal education, Sushant has also undertaken several certifications to enhance their knowledge and skills. Sushant completed the course "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in December 2017. In the same year, they also completed the course "Neural Networks and Deep Learning," also offered by Coursera. In 2016, Sushant obtained a certification in Statistical Learning from Stanford University. Additionally, they hold a certification in Programmable Logic Controller from Bosch Rexroth, although the specific details regarding the date of completion are not provided.