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shobhitjais/README.md

👋 Hi, I'm Shobhit Jaiswal

📊 Data Analyst | 💻 MERN Full-Stack Developer | 🤖 GenAI Enthusiast

I build data-driven, full-stack, and AI-powered applications by combining analytics, software development, and Generative AI.

I enjoy transforming raw data into insights, insights into applications, and applications into intelligent solutions.


👨‍💻 About Me

  • 🎓 B.Tech in Artificial Intelligence
  • 📊 Data Analyst Intern with hands-on experience in Data Analytics & Business Intelligence
  • 💻 Currently pursuing an internship in MERN Stack Development
  • 🤖 Exploring Generative AI, LLMs, RAG & AI-powered applications
  • 🐍 Strong interest in Python, SQL, data analysis, and backend development
  • 🚀 Interested in building practical products that solve real-world business problems

💼 Internship Experience

📊 Data Analyst Intern

  • Worked on data cleaning, transformation, analysis, and visualization
  • Used Python, SQL, Excel, Power BI, Pandas, and NumPy to generate actionable business insights
  • Analyzed learner performance, engagement, placement readiness, and hiring outcomes
  • Created reports and dashboards to support data-driven decision-making
  • Applied statistical analysis and business intelligence techniques to identify trends and patterns

💻 MERN Stack Development Intern — Currently Ongoing

  • Currently developing full-stack web applications using the MERN stack
  • Building responsive user interfaces with React.js
  • Developing backend services and REST APIs using Node.js and Express.js
  • Working with MongoDB for database design and data management
  • Implementing authentication, dashboards, business workflows, and application features
  • Collaborating on real-world development tasks and improving software engineering practices

📊 Data Analytics

I use data to identify trends, measure performance, and generate actionable business insights.

🛠 Tech Stack

Python SQL Pandas NumPy Excel Power BI Power Query DAX MySQL PostgreSQL Statistics

🚀 Featured Projects

🔹 Learner & Placement Analytics End-to-end analytics project using Python, SQL and Power BI to analyze learner performance, placement readiness, and hiring outcomes.

🔹 DSA Learner Engagement Analysis Analyzed learner engagement patterns and performance metrics to identify trends and actionable insights.

🔹 SQL Business Case Studies Collection of SQL problems covering joins, CTEs, subqueries, window functions, aggregations, and business analysis.


💻 PYTHON-MERN Full-Stack Development

I am building modern web applications using the MERN stack, with a focus on scalable backend APIs, authentication, dashboards, and real-world business workflows.

🛠 Tech Stack

JavaScript React.js Node.js Express.js MongoDB REST APIs JWT Tailwind CSS Git GitHub

🚀 Featured Projects

🔹 EGYAN PORTAL A learning Management System to make studies easier and remote.

🔹 Smart Placement Management System Application for managing candidates, companies, applications, interviews, and placement workflows.


🤖 Generative AI

I am exploring how LLMs and Generative AI can be integrated with data analytics and full-stack applications.

🛠 Tech Stack

Python LLMs LangChain LangGraph RAG Embeddings Vector Databases Prompt Engineering AI Agents FastAPI

🚀 Featured Projects

🔹 AI Data Analyst AI-powered application that allows users to upload datasets and ask questions about their data using natural language.

🔹 RAG Document Assistant Retrieval-Augmented Generation application for interacting with documents using natural-language questions.

🔹 Natural Language SQL Assistant AI application that converts natural-language questions into SQL queries and explains the results.


🔥 What I'm Building

AI-Powered Business Intelligence Platform

A project combining all three areas of my interest:

              AI-POWERED BUSINESS INTELLIGENCE
                           │
          ┌────────────────┼────────────────┐
          │                │                │
          ▼                ▼                ▼
      📊 ANALYTICS     💻 FULL STACK     🤖 GENAI
          │                │                │
       Python            React             LLMs
       SQL               Node.js           RAG
       Power BI          Express           AI Agents
       Pandas            MongoDB           LangChain

The goal is to build applications where users can analyze business data, visualize KPIs, and interact with their data using natural language.


📚 Currently Learning

  • Advanced SQL & Window Functions
  • Data Analytics & Business Intelligence
  • MERN Full-Stack Development
  • REST API Development
  • Generative AI & LLM Applications
  • RAG & Vector Databases
  • LangChain & AI Agents
  • System Design & Application Deployment

🛠 Technologies

Languages

Python SQL JavaScript

Data & Analytics

Pandas NumPy Excel Power BI Power Query DAX Statistics

Full Stack

React.js Node.js Express.js MongoDB PostgreSQL REST APIs JWT

Generative AI

LLMs RAG LangChain LangGraph AI Agents Embeddings Vector Databases

Tools

Git GitHub Jupyter Notebook VS Code Docker


🎯 Career Focus

I am interested in opportunities involving:

Data Analytics • Business Intelligence • Full-Stack Development • GenAI • AI-Powered Applications


📫 Connect With Me

📧 Email: shobhitjaiswal425@gmail.com

💼 LinkedIn: linkedin.com/in/shobhitjais

🐙 GitHub: github.com/shobhitjais


💡 My Goal

Analyze the data. Build the product. Add intelligence.

⭐ Feel free to explore my repositories and projects!

Pinned Loading

  1. dsa-learners-engagment-analysis dsa-learners-engagment-analysis Public

    Batch-wise analysis of learner engagement with DSA problems built using Excel Power Query and Google Sheets for stakeholder reporting.

  2. Internship_Project_-and_Learning Internship_Project_-and_Learning Public

    Built an end-to-end Power BI placement dashboard that improved candidate screening efficiency by 40% and enhanced data-driven decision-making.

  3. HR_ANALYTICS_PROJECT HR_ANALYTICS_PROJECT Public

    Employee Performance Prediction | Python |EDA | Machine learning

  4. File_handling-python-project File_handling-python-project Public

    Case study of python file handling of various types of files

    Jupyter Notebook