Hello!

I'm Pranay Karvi



A Student at VIT Chennai

Linkedin My works

Name: Pranay Karvi

Role: Currently a Student

Experience: 1 Years 3 Months

Address: Mumbai, India

Skills

SQL 65%
PYTHON 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 70%
Full Stack 80%

About

About Me

I am a passionate data science enthusiast, currently exploring the field by building projects and gaining hands-on experience. As a 2nd-year engineering student at Vellore Institute of Technology, Chennai (VIT Chennai), I am pursuing a degree in Computer Science with a specialization in Data Science. My journey in data science involves continuous learning and experimenting with real-world applications, which helps me grow my skills and deepen my understanding of the field.

  • Profile: Data Science & Analytics
  • Education: B.Tech in Computer Science and Engineering
  • Language: English, Hindi, Kannada, Marathi,
  • BI Tools: Microsoft Power BI & Tableau
  • Other Skills: Java, Tensorflow, Pytorch, scikit-learn, OpenCv, Streamlit, Git, Github, Node js, Numpy & Pandas
  • Interest: Traveling, Travel Photography, Teaching

0 +   Projects completed

GitHub

Resume

Resume

I am a second-year Computer Science student at VIT Chennai, specializing in Data Science. I am passionate about leveraging data to uncover insights through data analysis, data modeling, and machine learning.


Education


2023-2027

B.Tech in Computer Science and Engineering

Vellore Institute of Technology Chennai
2021-2023

Higher Secondary School

Rahul International School

Download CV

Projects

Projects

Topography Classifier

The Topography Classifier is a deep learning-based project designed to classify satellite images into various topographical categories. The goal of this project is to automate the analysis and classification of satellite imagery, which is crucial for environmental monitoring, land management, and urban planning.

Apple Stock Price Prediction

This project demonstrates the use of advanced deep learning architectures, specifically LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit) layers, to forecast Apple stock prices. While primarily focused on Apple stock, the model is flexible enough to handle datasets with similar fields (like open, close, high, low prices).

ChatBot-1.O

The ChatBot Machine Learning project is a Python-based application that leverages machine learning algorithms and natural language processing (NLP) techniques to provide automated assistance for college-related inquiries. The chatbot aims to enhance user experience by delivering quick and accurate responses to user questions.


Plant Disease Detection and Classification using Deep Learning

This is an end to end machine learning project consisting of a model trained on Convolutional Neural Network (CNN). Then using Streamlit we made an webapp which would take images as input and predict the disease occurred to the plant

Remote Health Monitoring Systems

This is an Support Vector Machine based ml model which predicts the type of Respiratory diseases based on the input based on user adding on to it we have also developed an user friendly interface using streamlit that provides the user the an webapp through which they can give data as inputs and predict results.

Stroke Prediction

This is an End to End Machine Learning based project which further provides the user with an interface to give inputs on an webapp through which he/she can get the prediction whether they stand a chance for stroke or not for early diagnosis.


Sakha

This an OpenCV based project which basically allow the user to use cursor virtually on their system using hand gestures.

Brain Tumor Detection Prediction

The is an YOLO V10 model that helps in detecting and predicting Brain Tumors on the input images.

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0 Projects
0 Hours of Practice
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More projects on Github

I love to solve problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Mumbai, India

Contact Number

+91 8655287793

Email Address

Pranaykarvi@gmail.com

Download Resume

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