Hello There! I'm
Dayita Chaudhuri

Hi there! Welcome to my page!

I am currently pursuing an M.Tech. in Computation and Data Science at the Indian Institute of Science (IISc), Bangalore. I completed my undergraduate studies in Computer Science and Engineering from NIT Agartala, graduating with a CGPA of 9.43. I have over eight months of experience in software development, during which I have worked on building and maintaining scalable systems across industry settings. My academic and professional interests lie in Natural Language Processing, Deep Learning, and Data Science, with a focus on applying these methods to real-world problems.

I am keen to engage in research collaborations and technically challenging projects where I can contribute meaningfully while continuing to learn. If you believe there is potential for collaboration, feel free to reach out via my social profiles or email me at dayitac@iisc.ac.in.

Education
Academic Background

My coursework and research training have centered on fundamental principles in computer science, data science, and machine learning.

IISc Bangalore
Indian Institute of Science
M.Tech. in Computational and Data Science

2024 - 2026 (Expected)

CGPA: 8.4/10.0

Focus: Natural Language Processing, Machine Learning, Data Science

NIT Agartala
National Institute of Technology
B.Tech. in Computer Science and Engineering

2020 - 2024

CGPA: 9.4/10.0

Focus: Software Engineering, Data Structures, Algorithms, ML & AI

NIT Agartala
Kendriya Vidyalaya
Higher Secondary

2020

Board: CBSE

Grade: 94%

Focus: Mathematics, Physics, Chemistry, Computer Science

Experience
Industry Experience

I bring 10+ months of industry experience in data science, machine learning, software development, and scalable system design.

CRED
Data Scientist Intern

May 2025 - August 2025

Amazon
Software Development Intern

January 2024 - June 2024

Google
Application Engineering Intern

May 2024 - August 2024

Technical Expertise Summary
Languages

Python, C++, SQL

Frameworks & Tools

TensorFlow, PyTorch, Spark, Databricks

Cloud & DevOps

AWS, Google Cloud, Docker, Kubernetes, CI/CD