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Nikhil3107jaiswal/README.md

👋 Hi, I'm Nikhil Jaiswal

📊 Data Analyst/Scientist | SQL | Python | Power BI | Excel | Machine Learning

I am a Data Analyst with ~2 years of experience in data analysis, reporting, and dashboard development.
I specialize in transforming raw data into actionable insights through structured analysis, high-quality reporting, and data visualization.

🧠 Skills & Tools

  • Data Analysis: SQL, Python (Pandas, NumPy, Seaborn, Matplotlib), EDA
  • Visualization: Power BI, Excel, Tableau
  • Reporting: Dashboards, KPI reports, written insights
  • Databases: MySQL, MS SQL Server, PostgreSQL
  • Techniques: Data Cleaning, Validation, Trend Analysis, ETL
  • Machine Learning: scikit-learn, Regression, Classification, ML Algorithm, model evaluation

📌 Featured Projects

🔹 Blinkit Sales & Performance Analysis
🔹 E-Commerce Sales Analysis
🔹 SQL Case Studies & Business Queries

➡️ Check my pinned repositories below ⬇️

📫 Connect with Me

⭐ I enjoy working with data, building insights, and solving business problems.

Pinned Loading

  1. BlinkIt-Analysis-Dashboard BlinkIt-Analysis-Dashboard Public

    “Data analysis dashboard for Blinkit

  2. -Classification-with-Random-Forest -Classification-with-Random-Forest Public

    End-to-end machine learning projects showcasing customer purchase prediction and fraud risk detection using EDA, feature engineering, and Random Forest classification.

    Jupyter Notebook

  3. Analysis-with-SQL Analysis-with-SQL Public

    This project demonstrates SQL-based data analysis using a music database.

  4. Classification-with-Decision-Tree Classification-with-Decision-Tree Public

    This project focuses on predicting whether a customer will purchase a product based on Gender, Age, and Salary using a Decision Tree Classifier.

    Jupyter Notebook

  5. Prediction-with-Multiple-Regression Prediction-with-Multiple-Regression Public

    This repository contains two end-to-end Machine Learning projects built using Python and Multiple Linear Regression, following the complete Machine Learning Life Cycle.

    Jupyter Notebook

  6. Prediction_using_KNN Prediction_using_KNN Public

    This repository contains end-to-end Machine Learning projects demonstrating the use of K-Nearest Neighbors (KNN) for both classification and regression problems.

    Jupyter Notebook