Fuzel Ahamed Shaik
About Fuzel Ahamed Shaik
Fuzel Ahamed Shaik is an Analyst with a background in data science, specializing in machine learning, deep learning, and natural language processing. He has a Bachelor of Technology in Mechatronics and currently works at LatentView Analytics, having previously been a Program Analyst Trainee at Cognizant.
Work at LatentView Analytics
Currently, Fuzel Ahamed Shaik serves as an Analyst at LatentView Analytics, having joined the company in 2021. In this role, he focuses on data analysis and the application of data science techniques to solve business challenges. His work involves exploring various tools and libraries to identify patterns in data, contributing to the company's analytics projects.
Education and Expertise
Fuzel Ahamed Shaik completed his Bachelor of Technology in Mechatronics, Robotics, and Automation Engineering at Shanmugha Arts, Science, Technology and Research Academy from 2016 to 2020. Prior to this, he studied at Sri Chaitanya College of Education, where he achieved an Intermediate (Higher Secondary) in Mathematics, Physics, and Chemistry from 2014 to 2016. His educational background provides a strong foundation for his work in data science.
Background
Fuzel began exploring the data science domain in December 2019, with a focus on machine learning, deep learning, and natural language processing. He has a strong interest in practical problem-solving and aspires to transition into a data scientist role, where he can apply his knowledge and skills to address real business challenges.
Previous Experience at Cognizant
Before joining LatentView Analytics, Fuzel Ahamed Shaik worked as a Program Analyst Trainee at Cognizant from 2020 to 2021 in Hyderabad, Telangana, India. During this time, he gained experience in data analysis and the application of analytical techniques, which contributed to his development in the field of data science.
Passion for Data Science
Fuzel Ahamed Shaik has a passion for learning new theories in machine learning, deep learning, and natural language processing. He actively seeks to deploy data science models into production to address business problems, demonstrating his commitment to continuous learning and practical application of his skills.