Devarshi Gupta Email & Phone Number

I am Devarshi Gupta, currently pursuing a Bachelor of Technology in Computer Science and Engineering at Heritage Institute of Technology, Kolkata. I am a Machine learning and Data science engineer and am exploring the realms of Artificial Intelligence. You can reach me at devarshi.dg56@gmail.com.I worked as a Deep Learning Intern at Ardent Computech, where I worked on developing a Speech sentiment analysis model, using python and tensorflow, to recognise the emotions of the speaker from their voice, It was a research project and the research paper is currently in the process of being published.My technical proficiency extends beyond my academic and professional pursuits. Proficient in languages such as Python, and C++, and frameworks like React and Tensorflow, I am well-versed in utilizing tools such as GitHub, AWS, Docker and SQL. Notable projects in my portfolio include a Student performance app, the objective of which is to analyse and predict the performance of a student in school based on various external factors, leveraging tools and libraries such as Scikit-learn, Flask, Docker, AWS ECR, AWS EC2 and Github Actions.Another project, Job listngs frontend, showcases my expertise in React and Tailwind CSS, presenting a frontend application with a clean and modern interface for viewing and interacting with job postings.I am highly enthusiastic about up and coming technologies in AI and am also expanding my horizons by acquiring skills in frontend development. I am open to work in any roles which fit my skillset.

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  Deep Learning Engineer

  Ardent Computech Pvt Ltd

  Jun 2024 - Jul 2024 - Kolkata, West Bengal, India

  As a Deep Learning Intern at ARDENT COMPUTECH PVT LTD in Kolkata, West Bengal, India, I worked on creating and enhancing a speech sentiment recognition model in Python using TensorFlow and sci-kit learn. By applying model evaluation techniques, I successfully improved the model accuracy by 15%. My role involved collaborating with team members to optimize the model's performance and utilizing deep learning techniques to successfully perform speech sentiment analysis.

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  Heritage Institute Of Technology

  Computer Science