Nilesh Rathod
About Nilesh Rathod
Nilesh Rathod is a Senior Data Scientist with a Master's degree in Business Analytics from the University of Colorado Denver. He has extensive experience in data science, having worked in various roles across multiple companies, and currently leads a team at CAPE Analytics in Mountain View, California.
Work at Cape Analytics
Nilesh Rathod serves as a Senior Data Scientist at CAPE Analytics, a position he has held since 2022. In this role, he leads a team of machine learning engineers and data analysts, focusing on the development of proof of concepts for production deployment. His work involves utilizing advanced data processing techniques and machine learning methodologies to enhance the company's analytical capabilities.
Education and Expertise
Nilesh Rathod holds a Master’s Degree in Business Analytics from the University of Colorado Denver. He also earned a Bachelor of Engineering (B.E.) in Information Technology from L.D. College of Engineering. Additionally, he completed an MBA (Post Graduation Diploma) in IT Management and Industrial Engineering from the National Institute of Industrial Engineering. In 2019, he participated in Stanford Continuing Studies, focusing on Building Successful Products and Agile Product Management.
Professional Background
Nilesh Rathod has a diverse professional background in data science and software engineering. He began his career as an Associate QA Engineer at Revitas from 2009 to 2010. He then worked as a Java Developer at GMD Services (India) Pvt Ltd for four months in 2011. Nilesh transitioned to roles in business development, serving as a Business Development Executive at Softype, Inc. and later as a Business Development Manager at Invitra Technologies. His data science experience includes positions at Anaplan, Gap Inc., and the National Renewable Energy Laboratory.
Machine Learning and Data Visualization Skills
Nilesh Rathod possesses expertise in various machine learning techniques, including Bagging, Boosting, and Neural Networks. He is proficient in using advanced data visualization tools, such as Tableau, to present data effectively. His work often involves utilizing Google Cloud Platform for scalable data processing and deploying machine learning models. Nilesh actively engages in Kaggle competitions and forums to further develop his data science skills and stays updated on industry trends through platforms like Data Science Central.
Engagement in Data Science Community
Nilesh Rathod actively participates in the data science community by attending meetups and engaging in discussions to learn about innovative data processing and modeling techniques. His involvement in Kaggle competitions allows him to apply his skills in practical scenarios, while his engagement with blogs and forums helps him stay informed about the latest developments in the field of data science.