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Rahul5021/README.md

Rahul Agrawal - Data Enthusiast

🌟 About Me

Hello! I'm Rahul Agrawal, a passionate Data Enthusiast from Kathmandu, Nepal, with a strong foundation in Python, machine learning, and data visualization. I specialize in transforming complex data into actionable insights to solve real-world problems, drive business growth, and improve decision-making.

💼 Work Experience

Data Analyst Intern

Cubical Technologies – Itahari, Nepal
December 2023 – March 2024

  • Analyzed data across e-commerce, healthcare, and industrial growth domains using Python, SQL, and Excel.
  • Designed and implemented interactive dashboards using Tableau to visualize healthcare trends in Nepalese hospitals.
  • Explored SEO strategies for platforms like Flipkart to improve online visibility.
  • Collaborated with cross-functional teams to interpret results and deliver data-driven insights.

🧠 Skills

Programming

  • Python: Proficient in Pandas, NumPy, Seaborn, Matplotlib.
  • SQL: Skilled in working with SQL Server and MySQL.

Visualization

  • Tableau: Expertise in dashboard creation and data visualization.
  • Excel: Experienced in VLookup, Conditional Formatting, Pivot Tables.

Machine Learning

  • Regression, Classification, Model Optimization, Feature Engineering.

Other Skills

  • Version Control: Git, GitHub, DVC (Data Version Control).
  • ETL: Data Extraction, Transformation, and Loading with Python.
  • Software Development: SDLC Practices, OOP.

📚 Education

Bachelor of Arts in Computer Application
Tribhuvan University – Kathmandu, Nepal
2019 – 2024
Majors: Data Analysis and Visualization, Statistics.

🏆 Certifications

  • Introduction to Programming Using Python – edX – cs50P (December 2023).
  • Data Visualization Using Tableau – EC Council (March 2024).

🚀 Projects

Crop Recommendation System

  • Developed a machine learning-based system using Random Forest to provide personalized agricultural insights.
  • Implemented using Flask for seamless communication between the model and the user interface.
  • Enhanced prediction accuracy with data preprocessing, feature engineering, and model fine-tuning.
    GitHub Repository

Laptop Price Prediction

  • Extracted and transformed e-commerce data using web scraping (BeautifulSoup).
  • Built a predictive model using Linear Regression for price estimation.
  • Deployed the solution as a user-friendly Streamlit app for real-time predictions.
    GitHub Repository

Air Quality Classifier

  • Designed and implemented machine learning models for classifying air quality based on API data.
  • Processed raw data and cleaned it using advanced Python libraries (Pandas, NumPy).
  • Deployed the system for real-time predictions using Flask.
    GitHub Repository

📫 Get in Touch

🌟 Fun Fact

I'm driven by a curiosity to find meaningful patterns in data and enjoy turning complex problems into elegant, data-driven solutions. Let's connect and collaborate!

Pinned Loading

  1. air-quality-classifier air-quality-classifier Public

    A web app that predicts air quality using machine learning. It integrates real-time location data via APIs, processes it through a modular pipeline, and provides predictions with dynamic suggestion…

    Jupyter Notebook 2

  2. Algorithms Algorithms Public

    A collection of foundational algorithms implemented from scratch in Python, with Jupyter notebooks and example data for learning and experimentation.

    Jupyter Notebook

  3. Laptop-Price-Prediction Laptop-Price-Prediction Public

    Predict laptop prices accurately using this Streamlit web app. Powered by data collected from Flipkart and a pre-trained ML model, it provides quick price estimates based on laptop features. Explor…

    Jupyter Notebook 1

  4. crop-recommendation-system crop-recommendation-system Public

    This repository houses a Crop Recommendation System developed using Flask, machine learning models, and RESTful APIs. The system takes in various soil and environmental parameters along with crop t…

    Jupyter Notebook