Joe Karuthedath

Consultant, Data Scientist at Aspirent

Joe Karuthedath has a significant background in data science, starting with their current role as a Consultant, Data Scientist at Aspirent since May 2023. Prior to this, they worked as a Data Scientist at CoStar Group from June 2022 to March 2023, where they specialized in traffic prediction for Apartments.com using forecasting models. Before that, they were a Data Scientist and student consultant at FedEx from January 2022 to May 2022, where they focused on descriptive analytics and translating business problems into data problems. Joe also has experience as a Data Scientist Intern at Lanware Solutions from March 2021 to June 2021. Earlier in their career, they worked as a Business Development Trainee at BYJU'S from December 2020 to February 2021 and as a Data Analyst at Zeekoi Technologies Private Limited from June 2019 to November 2020. Additionally, they served as the Chairman of the Eco-club at Rajagiri School of Engineering and Technology from January 2017 to January 2018.

Joe Karuthedath attended Emory University - Goizueta Business School from 2021 to 2022, where they obtained a Master of Science (MS) degree in Business Analytics. Prior to that, they attended Rajagiri School of Engineering & Technology and earned a Bachelor of Technology (BTech) degree in Mechanical Engineering. Additionally, Joe Karuthedath had their early education at Jyothi Nivas Public School in India, but no specific degree or field of study was mentioned for this period.

In terms of additional certifications, Joe Karuthedath obtained various certifications. In March 2022, they completed the "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" course offered by DeepLearning.AI. In June 2021, they obtained the "Supervised Learning with scikit-learn" and "Unsupervised Learning in Python" certifications from DataCamp. Furthermore, in June 2023, Joe Karuthedath obtained the "Academy Accreditation - Databricks Lakehouse Fundamentals" certification from Databricks.

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