Yogesh Kalam
About Yogesh Kalam
Yogesh Kalam is a Data Scientist at Code Icons Technology in Pune, Maharashtra, specializing in AI and machine learning solutions to solve complex business problems. He employs text mining and predictive analytics to improve decision-making and has a background in engineering from Kavayitri Bahinabai Chaudhari North Maharashtra University.
Work at Code Icons Technology
Yogesh Kalam has been employed at Code Icons Technology since 2021, serving as a Data Scientist. In this role, he focuses on implementing artificial intelligence and machine learning solutions to tackle complex business challenges. His work involves leveraging advanced data analysis techniques to improve decision-making processes within the organization. Based in Pune, Maharashtra, India, he has contributed to various projects that optimize business operations through data-driven insights.
Education and Expertise
Yogesh Kalam completed his education at Government Polytechnic Ambad, where he studied from 2014 to 2017. He then pursued a Bachelor of Engineering (BE) degree at Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, from 2017 to 2020. His academic background provides a strong foundation in engineering principles, which he applies in his current role as a Data Scientist. He specializes in text mining and predictive analytics, enhancing his ability to address business challenges effectively.
Background
Yogesh Kalam has a background in engineering and data science, with a focus on artificial intelligence and machine learning. His education and professional experience have equipped him with the skills necessary to deploy deep learning models using Python. This technical proficiency allows him to optimize business operations and contribute to data-driven decision-making processes.
Technical Skills
Yogesh Kalam is proficient in deploying deep learning models, utilizing Python as his primary programming language. His expertise includes implementing AI and machine learning solutions that address various business challenges. He employs a combination of text mining and predictive analytics to enhance the decision-making processes within organizations, showcasing his ability to work with complex data sets.