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Prev SDE Intern @ AWS | Graduate Student at Arizona State University | DA-IICT
Hi there, Zeel Bhanderi here! I am a MS CS student at Arizona State University. With a strong proficiency in programming languages such as C++, C#, Python, HTML, CSS, and SQL, I have developed a keen interest in the field of software and machine learning. My expertise in data structures and algorithms has enabled me to tackle complex and real-time problems with ease. I possess excellent problem-solving skills and am always looking for ways to further develop my technical abilities. My passion lies in machine learning and deep learning, and I am eager to explore opportunities in this field. With a strong foundation in programming and a solid understanding of the underlying principles, I am confident that I can excel in any software or machine learning role. I am excited to continue learning and growing in my career, and I am committed to staying up-to-date with the latest advancements in the industry. If you are looking for a dedicated and motivated professional to join your team, I would love to connect and discuss potential opportunities.
Arizona State University
Master of Science - MS, Computer Science
August 1, 2024 – May 1, 2026
Dhirubhai Ambani University
Bachelor of Technology - BTech, Information and Communication Technology with minors in CS
January 1, 2020 – January 1, 2024
Amazon Web Services (AWS)
Software Development Engineer
May 1, 2025 – August 1, 2025
Seattle, Washington, United States · On-site
EdPlus at Arizona State University
Instructional Design Assistant
October 1, 2024 – May 1, 2026
Scottsdale, Arizona, United States · Hybrid
Arizona State University
Grader
August 1, 2024 – September 1, 2024
Mesa, Arizona, United States · On-site
TatvaSoft
Quantitative Developer
January 1, 2024 – May 1, 2024
Ahmedabad, Gujarat, India · On-site
Dhirubhai Ambani Institute of Information and Communication Technology
Teaching Assistant
August 1, 2023 – December 1, 2023
Gandhinagar, Gujarat, India · On-site
Dhirubhai Ambani Institute of Information and Communication Technology
Research Assistant
May 1, 2023 – July 1, 2023
Gandhinagar, Gujarat, India · On-site
Unsupervised Learning, Recommenders, Reinforcement Learning
Coursera
June 25, 2026 – Present
Machine Learning Specialization
Coursera
June 25, 2026 – Present
Data Analytics and Visualization Virtual Experience
Accenture
June 25, 2026 – Present
Back-End Engineering Virtual Experience Program
Lyft
June 25, 2026 – Present
Advance Learning Algorithms
Coursera
June 25, 2026 – Present
Supervised Machine Learning: Regression and Classification
Coursera
June 25, 2026 – Present
Python Data Structures
Coursera
June 25, 2026 – Present
Programming for Everybody (Getting Started with Python)
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's academic and internship experiences, including roles at a university and AWS, suggest adaptability to different environments. The variety of roles (TA, RA, Grader, SDE Intern, Quant Developer Intern) indicates a willingness to engage in diverse tasks. However, without specific project details or team collaboration experiences, a deep cultural fit assessment is limited. The target role of Big Data Engineer aligns with some of the candidate's technical exposure (Pyspark, ML certifications).
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant, Research Assistant, Grader, and Instructional Design Assistant suggests an ability to learn, teach, and collaborate. However, specific operational fit for a senior Big Data Engineer role cannot be fully assessed without more detailed project descriptions or behavioral assessment data.