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RIDDHI DAS

I'm a

About

I’m a Master's student in Computer Science at Illinois Institute of Technology, specializing in AI and Data Analytics. I love using technology to solve real-world problems, whether it’s building an AI-powered chatbot with Google’s Gemini API, developing a handwritten character recognition system with CNNs, or creating machine learning models like Wine Predictor and ElasticNet Regression from scratch. My work blends full-stack development, AI, and optimization techniques, always with a hands-on, problem-solving approach. Beyond coding, I enjoy tackling challenges that push both my technical and leadership skills. From building a full-stack hotel booking system to researching human emotions through EEG analysis, I thrive in dynamic environments. I also led my college’s Photography Club, managing projects and capturing campus life. Whether it's developing innovative solutions or bringing creative ideas to life, I’m always eager to connect, collaborate, and make an impact.

ML Engineer & Data Analyst & Full Stack Developer.

Aspiring ML engineer, currently working on different ML models

Birthday: 28 December 2001
Phone: +1 8624353015
City: Chicago, USA

Age: 23
Degree: Masters of Computer Science
Email: riddhidas2001@gmail.com

Resume

My Academic and Professional Journey

Education

Master of Computer Science & AI|ML & Data Analyst

2024 - 2026

Illinois Institute of Technology, Chicago, IL

Currently pursuing masters with specialization in AI

Bachelor of Technolgy & Electronics & Communications Engineering

2020 - 2024

Heritage Institute of Technology, Kolkata, India

Graduated with a GPA of 3.3

Professional Experience

ENGINEER INTERN

JUNE 2023 - JULY 2023

Ardent Computech Pvt. Ltd.

I assisted the team in developing a full-stack hotel booking system using React, Node.js, and MongoDB (MERN stack), featuring real-time availability, secure payments, and an admin dashboard for efficient management.
Implemented natural language processing for chatbot customer service and collaborative filtering for a recommendation engine.
Integrated AI and machine learning capabilities for personalized recommendations and predictive analytics, enhancing user experience and optimizing hotel operations in a cloud-based environment.