abhikalparya Goto Github PK

followers: 25.0 following: 30.0 repos: 40.0 gists: 0.0

Name: Abhikalp Arya

Type: User

Bio: Unlocking insights and solving problems through data-driven approaches📈 | Seeking Data Science/Machine Learning/Data Analyst/Backend Developer Intern roles📢

Twitter: AbhikalpArya

Location: India

Blog: https://abhikalparya.tech/

Hi, I'm Abhikalp Arya!

Welcome to my Github profile

I am an aspiring data scientist, constantly on a quest to turn data into actionable insights. My expertise lies in data analysis, machine learning techniques and building end to end data science solutions. My ultimate goal is to use my data science skills to solve real-world problems and make a positive impact on the world.

I am always on the lookout for new challenges and opportunities to learn and grow in the field of data science. Connect with me on LinkedIn and Twitter to join me on my journey and stay updated on my latest projects and discoveries.

Currently in my 3rd year of college, pursuing undergrad in CSE with specialization in Data Science.

Skills :

📋Languages

📈 DS & ML

📚Frameworks and Platforms

💾Database

☁️Hosting

🔬 Version Control and CI/CD

💻IDE's/Editors

📊GitHub Stats :

Abhikalp Arya's Projects

5personalities

abhikalparya

Unlocking insights and solving problems through data-driven approaches📈 | Seeking Data Science/Data Analyst Intern roles📢

access-eth-web3

Accessing Ethereum using Web3

android-app-market-on-google-play

assignment

blogapi

bostonhousepricing

brain-tumor-prediction

chatpdf

copykit

cricket-data-analytics

The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup data using Power BI.

cuvette_assignment

directory-organizer

This script organizes the files in the given directory according to their type(common extensions).

document-chatbot

This is a chatbot designed to assist students in interacting with their textbooks in a conversational manner. The chatbot has been developed using the RAG (Retrieval-Augmented Generation) model, which enables it to understand and respond to natural language queries.

dsa-library

eda-app

This website can perform eda on any data provided in the form of csv file. This project is made using streamlit and pandas-profiling library.

farmeasy

FarmEasy🌾 is a web application that uses machine learning to predict the best crop to grow in a particular season. The application takes into account the soil, temperature, humidity, ph value and rainfall of a particular region and predicts the best crop to grow in that region.