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Ekansh Gayakwad
FullStack Data Engineer at The Global AI Internet Freedom Fund
Professional Background
Ekansh Gayakwad is an enthusiastic data scientist and a budding expert in the field of machine learning, currently making strides as a FullStack Data Engineer at The Global AI Internet Freedom Fund. With a robust foundation in information technology, Ekansh's journey in data science is complemented by a wealth of practical experiences that span various high-impact roles. His diverse experiences include prominent internships and mentorship roles across reputable organizations, showcasing his commitment to continuous learning and professional development.
Having begun his career in machine learning and data science, Ekansh has amassed a significant amount of knowledge and skills through his various internships. Notably, he served as a Machine Learning Research Intern at IBM, where he engaged in groundbreaking projects that helped refine his abilities in handling large datasets and implementing advanced machine learning algorithms. Moreover, his role as an AI in Healthcare research intern has provided him the unique opportunity to contribute significantly to the application of artificial intelligence in a crucial field affecting millions.
As a former captain for AI at The Climber and a mentor for Python in Machine Learning at Taipei Medical University, Ekansh demonstrated leadership skills and a passion for education. His engagements in mentoring allowed him to guide and inspire aspiring data scientists, enabling them to gain traction in their own careers. As a facilitator at Developer Circles from Facebook, Ekansh played an essential role in discussing pivotal advancements in technology and community-building, ensuring that knowledge is circulated among peers.
Education and Achievements
Ekansh Gayakwad completed his Bachelor's degree in Information Technology from the prestigious Vellore Institute of Technology with an impressive cumulative score of 8.8. His academic journey has not only equipped him with theoretical insights into technology but also practical skills that have been pivotal in his subsequent professional roles.
Dedicated to enhancing his programming capabilities, particularly in Python, Ekansh has optimally positioned himself as a proficient coder in the data science landscape. This commitment is exemplified by his active pursuit of a remote internship where he can further apply and hone his skills.
Ekansh's achievements speak to his passion for data science and machine learning. His experience in various organizations reflects his ability to adapt to dynamic environments and tackle complex problems using innovative solutions.
Achievements
Ekansh's remarkable journey so far has been punctuated by several achievements, beginning with his distinctive leadership roles and impactful research contributions. As an AI in Healthcare research intern at Taipei Medical University, he contributed fresh perspectives and innovative approaches to integrating AI with healthcare solutions, reaffirming his commitment to using technology for social good. His involvement in such pivotal roles sets him apart as a promising figure in the tech community.
Moreover, his participation in diverse technical internships, including his contributions to Xen.ai as a Campus Ambassador and WittyFeed as a Technical Intern, highlights his proactive approach towards gaining experience in various technological domains. Also, his contributions as a core committee member at both CodeChef and IEEE RAS point to his interest in community development and the promotion of advances in technology through collaborative efforts.
tags=[
Data Science
Machine Learning
FullStack Data Engineer
Artificial Intelligence
Python Programming
Remote Internship
Research
Technical Skills
Leadership
Mentoring
Healthcare AI
IBM
Data Engineering
Community Development
Coding
IEEE RAS
CodeChef
Developer Circles
Vellore Institute of Technology