Aryan Bhutda

A responsible and motivated recent graduate eager to apply education in the workplace. Possesses exceptional research and technical abilities with a variety of software and applications, alongside a strong business-oriented mindset. Demonstrates a proven capacity to handle challenging tasks with excellent time management skills. Adept at identifying and solving business problems through innovative solutions, leveraging analytical skills to drive efficiency and growth. Detail-oriented, with a keen ability to learn new concepts quickly and apply them to real-world business scenarios. Ready to contribute effectively to dynamic and innovative teams, aiming to support organizational objectives and drive business success.

President

• Elected as President of the Students’ Representative Council of Symbiosis Institute of Technology,Nagpur

Head of Operations

• Head of Operations of the Central Branding Committee of Symbiosis Institute of Technology,Nagpur which is responsible for branding and promotion of the institute including all digital means, social media and print media.

Achievements

• Best Speaker at Debate Competition "Word War"Symbiosis Institute of Technology,Nagpur • 09/2023
• High Commendation Award in Symbiosis Business Conference on the agenda of Effects on World Business from the Global Trends.
• 2nd in University Basketball Championship
• Participated in Republic Day Parade at Rajpath, Delhi

• Published research paper on 'Comparative Study on Different Approaches Used in Word Sense Disambiguation:NLP' in ICRIC - Volume 2 Springer journal.This research was in Natural Language Processing where different approaches and algorithms used in Word Sense Disambiguation were studied.
• 2nd research paper on utilizing BERT for training a language model on a diverse corpus was recently presented at the prestigious IEEE International Students' Conference.The research focuses on leveraging BERT (Bidirectional Encoder Representations from Transformers), developed by Google in 2018, for Natural Language Processing (NLP). BERT, consisting of two English language models, aims to bridge data gaps by pre-training general language representation models on large volumes of unannotated web content. Unlike training BERT from scratch on such datasets, the research involves initial pre-training on limited data. Once significant results are achieved, the model can be applied to tasks like NLP sentiment analysis and question answering, leading to improved accuracy.

• Machine Learning Specialisation (Regression and Classification)- By Standford University.
• AWS cloud computing practioner.
• Attended Introduction to Machine Learning course from NPTEL by IIT-Madras
• Data Structures and Algorithms by Univerisity.of California-San DIego from Coursera.
• C programming Language from Beginner to Master-Udemy.
• Workshop on Cyber Security at SIT Nagpur.