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Anuj-7678/README.md

Hi there! waving hand

Welcome to my GitHub profile!
I'm Anuj Daphale — a passionate Data Science learner 🧠📘
Currently exploring the world of Data Analytics, Machine Learning, and Visualization — one dataset at a time 📊
Excited to team up on creative and insightful data projects 🤝

🌐 Portfolio | 💼 LinkedIn

Languages

Python SQL HTML CSS

ML / DL

NumPy Pandas Scikit Learn TensorFlow Keras

Databases

MySQL PostgreSQL AWS Google Cloud Snowflake

Visualization

Power BI Tableau Matplotlib Seaborn

Design

Canva Figma

💻 IDEs / Editors

VS Code Jupyter Google Colab

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  1. Automated-Data-Workflow Automated-Data-Workflow Public

    The automated workflow built with n8n and Python, designed to automate scheduled processes like file handling and data integration without directly supplying input data in n8n. It includes workflow…

    Python

  2. car-sales-analytics car-sales-analytics Public

    This project involves building a data pipeline and analytics system for car sales data. It includes scripts for cleaning raw sales datasets, applying feature engineering, loading processed data int…

    Jupyter Notebook

  3. Valorant-Analytics Valorant-Analytics Public

    End-to-end Valorant analytics pipeline — data cleaning, feature engineering, and statistical analysis connected to Snowflake and visualized in Power BI dashboards.

    Jupyter Notebook

  4. VidStamp-Assistant VidStamp-Assistant Public

    RAG-based Q&A system for video course content. Features semantic search with Ollama embeddings, AI responses via Groq LLM, and exact timestamp references. Built with Python, Streamlit, and Whisper.

    Python

  5. Walmart-Sales-Analytics Walmart-Sales-Analytics Public

    End-to-end Walmart Sales Analytics using Snowflake SQL views and Power BI with automated refresh and KPI-driven dashboards.

  6. Diabetes-Readmission-Analytics Diabetes-Readmission-Analytics Public

    Diabetes Readmission Analytics is a machine learning web app that predicts hospital readmission risk for diabetic patients using XGBoost, Logistic Regression, and Random Forest, with custom thresho…

    Python