About

Rishabh Kesarwani is an experienced Big Data Analytics professional with expertise in software design and engineering. He is a graduate of the prestigious Indian Institute of Technology, Bombay. Rishabh's technical skills include Big Data processing solutions such as Spark, Spark Streaming, and Kafka, as well as front-end technologies and user experience design. Currently, Rishabh is serving as the Chief Technology Officer at Urbanity Multisol, where he has led several impactful projects. One such project was the development of a customer churn analysis model for a multinational bank's life insurance product. Rishabh used statistical modelling techniques such as Logistic Regression and Multinomial Logistic Regression to identify customers with the highest propensity to churn. The results showed that the top 30% of customers contributed to 75% of the annual premium. Rishabh also created a lead generation app that uses Bayesian Classifier in Java to extract sentiments from tweets. Additionally, he developed a voice-driven web app called SpeechDash for creating dashboards using D3JS. Rishabh's past experience includes working as a Project Engineer at Wipro and an Intern at Peak Consulting - Business Intelligence Experts. During his time at Peak Consulting, he worked as a Visual Marketer, creating advertisement videos for their products and conceptualizing and designing an android app for showcasing their products on their shop. Rishabh's educational background includes a Bachelor of Technology degree from IIT Bombay. He is skilled in Big Data, Supervised Learning, Python, Spark, Web, Kafka, Frontend, and Java. With 8.44 years of relevant experience, Rishabh is a valuable asset to any team looking for a skilled Big Data Analytics professional.