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pranav-js670/README.md

👋 Hello, I'm Pranav J S!

Welcome to my GitHub! I'm a final-year Computer Science & Engineering. I specialize in full-stack web development, data analysis, and generative AI. Passionate about building scalable and innovative solutions, I love solving real-world problems using cutting-edge technology. Let's collaborate and create something exceptional!

LinkedIn GitHub Email


🛠️ My Skills

Programming Languages

Python C++ JavaScript

Web Development

React Node.js Express Next.js HTML5 CSS3

Data Science & Machine Learning

Pandas PySpark Scikit-learn Power BI Matplotlib PyTorch

Databases

MySQL MongoDB SQL

DevOps & Tools

Git GitHub Postman


🌟 Generative AI

My work in Generative AI includes:

  • LLM-based applications
  • Building end-to-end AI-driven systems for natural language understanding, content generation, and more.

Langchain Hugging Face


📈 My Notable Projects

Developed an ETL pipeline and machine learning model for customer churn prediction and visualized results through a Power BI dashboard.

  • Tech Used: SQL, Power BI, Scikit-learn

Built a sales analysis dashboard with forecasting features and shipping time calculations using DAX.

  • Tech Used: Power BI

Designed a feature-rich ecommerce website using the MERN stack with functionalities like product management, secure payments, filters, and pagination.

  • Tech Used: MERN Stack (MongoDB, Express, React, Node.js)

Built a multi-agent system for personalizing email content using Mixtral 8x7B LLM, automating email generation for marketing purposes.

  • Tech Used: CrewAI, Langchain

Built a chatbot using Llama 2 7B model and FAISS vector store to answer health-related questions in real-time.

  • Tech Used: Langchain, Llama 2, FAISS

Implemented a CNN model using PyTorch for image classification into various natural categories.

  • Tech Used: PyTorch, CNN

🏆 Certifications & Hackathon Achievements

  • Software Engineering Certification from Infosys Springboard, focused on SDLC and Agile methodologies.
  • Led the development of the Skill-Track-365 project during a hackathon, building a platform for continuous skill development.
  • Created an LLM-powered interactive system to simplify medical jargon for patients during a 24-hour hackathon at Jayadeva Hospital.

📫 How to Reach Me

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  1. ShopEase-Ecommerce-Platform ShopEase-Ecommerce-Platform Public

    ShopEase is a complete ecommerce web application featuring a dedicated admin panel for seamless product management, including real-time product updates, deletions, and uploads. Built with React, An…

    JavaScript

  2. Customer-Churn-Analysis-and-Prediction-Using-Power-BI Customer-Churn-Analysis-and-Prediction-Using-Power-BI Public

    This project involves analyzing customer churn data, performing exploratory data analysis (EDA), cleaning the data, and predicting customer churn using a random forest algorithm. The results are vi…

    Jupyter Notebook

  3. Next.js-Ticketing-App Next.js-Ticketing-App Public

    A modern ticket management application built with Next.js and styled using Tailwind CSS. This app allows users to create, view, and manage tickets with different priority levels. It interacts with …

    JavaScript

  4. Personalize-Emails-using-Crew-AI Personalize-Emails-using-Crew-AI Public

    Crew AI project leveraging the Mixtra-8x7B large language model to personalize emails based on recipient information. Includes an Email Personalizer Agent and a Ghostwriter Agent for generating tai…

    Jupyter Notebook

  5. Stock-data-analysis-using-Pyspark Stock-data-analysis-using-Pyspark Public

    This repository contains the files used for the data collection and analysis of the stock data of the 'Magnificent Seven' companies, using Pyspark.

    Jupyter Notebook

  6. Comprehensive-Sales-Dashboard-Analysis-and-Forecasting-with-Power-BI Comprehensive-Sales-Dashboard-Analysis-and-Forecasting-with-Power-BI Public

    This project involves creating a detailed and interactive sales dashboard using Microsoft Power BI. Additionally, it includes a forecasting analysis to predict future sales trends based on historic…