I'm Shreya Prasad.

Experienced Final year B.Tech Student at VIT Vellore, interned at SBI. Currently looking for opportunities in Software engineering , AI/ML Engineering or Data Science engineering.Practical hands on experience in machine learning, data science, and AI through internships and hackathons, selected for Google Girls India Hackathon 2024 and Samsung Prism GEN AI Metaverse Hackathon, eager to apply my skills in data science, AI, ML, or software development.

In my free time, I enjoy painting, and surfing the net to stay updated in the tech world, or exploring some interesting projects on Artificial Intelligence.

Resume Contact

About me

I'm a final-year Computer Science and Engineering student at VIT, Vellore, with practical experience in ML, data science, and AI through internships, hackathons, and club activities. I enjoy painting, listening to music, exploring new places, and traveling the world. My hobbies help me stay creative and inspired, fueling my passion for technology

Location:Mumbai, India
Age:22
Nationality: Indian/Asian
Interests:Machine learning, Deep Learning, SDE, AI, Painting, KungFu
Study:Vellore Institute Of Technology
Employment:Open to work

Education

B.Tech in Computer Science and Engineering

Vellore Institute of Technology•July 2025

At college, I gained a solid foundation in Database Systems, Operating Systems, Compiler Design, Computer Networks, and Data Structures and Algorithms, enhancing my technical skills and problem-solving abilities.

Physics, Chemistry and Maths

MNR School of Excellence•July 2020

During school, I developed a strong academic foundation, excelled in science and mathematics, and cultivated a passion for technology and innovation.

Work

Student Intern

Samsung•January 2024 - June 2024

An app utilizing augmented reality and historical maps to let users virtually explore how their current location looked in different time periods and learn about its history.

Data Science Intern

State Bank Of India•August 2023 - September 2023

Developed and implemented a sophisticated Generative AI chatbot using the Llama-2-13B model, integrating FAISS, and enhancing the interface, significantly improving the banking experience for over 450 million customers.

Skills

Here you can show a snapshot of your skills to show off to employers

Spoken languages

English

French

Hindi

Data Science

Python

Data Visualization

SQL

Software Engineering

Data Structures and Algorithms

Agile project management

Soft Skill

Machine Learning

Mathematics and Statistics

Python

Machine Learning Algorithms

Check out some of my work

Multiple Disease Detection System

The project focuses on creating a robust system for detecting multiple diseases using advanced machine learning techniques, aiming to assist healthcare professionals in accurate diagnosis and treatment planning.

Virtual AI Voice Assistant

The voice assistant is a Python project that employs speech recognition and text-to-speech functionalities. it greets users based on the time of day and is capable of answering questions using Wikipedia, opening specific websites like YouTube or Google and providing the current time. This project showcases a basic but functional voice assistant

Face Detection App

The application leverages the power of real-time face detection through a webcam or video stream and includes interactive elements like a sidebar for profile details and user preferences.

EV Market Analysis

This project analyzes the feasibility of an Electric Vehicle (EV) startup in India, focusing on the 2-wheeler and 4-wheeler markets. It explores market growth, consumer needs, and differentiation strategies for success.

Market Segmentation McDonalds

The project aims to replicate a McDonalds case study using Python involving data analysis PCA for dimensionality reduction KMeans clustering segment profiling and decision tree classification for marketing segmentation.

Business Purpose Chatbot

Using advanced Natural Language Processing methods, the project focuses on building a business-purpose chatbot to improve user engagement and sentiment analysis, ultimately enhancing customer interactions and satisfaction.

Feynn AI Product Service Prototype Development DNA classification app

This Python code builds a model to identify E. coli bacteria by analyzing DNA sequences. It downloads data, trains a model, and predicts E. coli presence in new sequences.

Emotion Recognition Django Web App

Django app using neural networks for emotion recognition with scikit-learn MLP model trained on RAVDESS dataset, featuring a clean UI for audio-based emotion prediction.

DNA Classification for E.Coli Detection

The DNA Classification for E.Coli project, built on Django, employs an MLPClassifier to predict E.Coli presence in DNA sequences, featuring a user-friendly web interface for sequence input and classification results viewing, emphasizing reproducibility and deployment readiness.

Credit Card Fraud Detection

Python project using Isolation Forest for credit card fraud detection, analyzing transaction data, visualizing distributions, and leveraging PyCaret for model comparison, with emphasis on Random Forest for effective fraud detection.

Text Detection and Recognition

Python script combining OCR and OpenCV for text detection and extraction from images, utilizing Tesseract OCR for initial extraction and OpenCV for advanced text enhancement and region highlighting.

Because of optimism, we usually expect the number of bugs to be smaller than it turns out to be. Therefore testing is usually the most mis-scheduled part of programming.

-- Fred Brooks

The more I study, the more insatiable do I feel my genius for it to be.

-- Ada Lovace

Learning to write programs stretches your mind, and helps you think better, creates a way of thinking about things that I think is helpful in all domains

-- Bill Gates

Get in touch.

Lets connect!

Email: mailto:sp12554647@gmail.com
Location: Mumbai, India
Instagram: @shreya.prasad_27
Github: Shreyaprasad21