Gopal Kate
@gopalkate
Machine Learning Enthusiast
What I'm looking for
I am a driven and detail-oriented machine learning professional with a strong passion for developing innovative solutions. With a solid foundation in mechanical engineering and a keen interest in machine learning, I have developed a unique blend of skills that enable me to approach complex problems from multiple angles. My experience in working with various machine learning frameworks and tools has equipped me with the ability to design and deploy scalable and efficient models.
Throughout my journey, I have had the opportunity to work on various projects, including predictive modeling, natural language processing, and computer vision. My experience in working with large-scale datasets and optimizing model performance has allowed me to develop a keen eye for detail and a deep understanding of the importance of data quality. I am excited to continue exploring the vast possibilities of machine learning and contributing to the development of innovative solutions that can make a positive impact.
I am a strong believer in the importance of continuous learning and professional development. I am committed to staying up-to-date with the latest advancements in machine learning and expanding my skill set to tackle complex problems. I am excited to collaborate with like-minded individuals and contribute to the development of innovative solutions that can drive positive change.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
iNeuron.ai
Oct 2023 - Present (1 year 9 months)
Developed predictive models, optimized large-scale datasets, deployed machine learning models on AWS, and implemented performance metrics to monitor model effectiveness.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Bachelor of Engineering, Mechanical Engineering
2020 - 2023
Grade: 8.23
Completed a Bachelor of Engineering in Mechanical Engineering with a CGPA of 8.23, focusing on the principles of mechanical design, thermodynamics, and materials science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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