Ravi Suthar's Work | ContraWork by Ravi Suthar

Ravi Suthar

Data Analyst | Python | AI | SQL | Power BI

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Ahmedabad, India

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Ahmedabad, India

Cover image for Crop Yield Prediction using Machine

Crop Yield Prediction using Machine Learning & SQL

Home Price Prediction using Machine Learning Built an end-to-end Machine Learning project to predict residential property prices using Python and Scikit-learn. The project includes data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and performance evaluation. 📌 Key Features: • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA) • Feature Engineering • Machine Learning Model Training • House Price Prediction • Model Evaluation using R² Score, MAE & RMSE 🛠 Tools Used: Python • Pandas • NumPy • Scikit-learn • Matplotlib • Seaborn • Jupyter Notebook 📈 Outcome: Developed a predictive regression model capable of estimating house prices from property features while demonstrating a complete end-to-end machine learning workflow. GitHub: https://github.com/ravisuthar-13/Home-Price-Prediction-Analysis-Python

Cover image for 🛍 Customer Shopping Behavior Analysis

Built

🛍 Customer Shopping Behavior Analysis Built an end-to-end customer shopping behavior analysis project using Python to uncover purchasing patterns, customer insights, and business trends through Exploratory Data Analysis (EDA). 📌 Key Features: • Data Cleaning & Preprocessing • Customer Demographics Analysis • Purchase Behavior Analysis • Spending Pattern Visualization • Correlation & Trend Analysis 🛠 Tools Used: Python • Pandas • NumPy • Matplotlib • Seaborn • Jupyter Notebook This project demonstrates how data analysis can help businesses understand customer behavior and make data-driven decisions.

Cover image for 📊 Ecommerce Sales Performance Dashboard
Built

📊 Ecommerce Sales Performance Dashboard Built an interactive Power BI dashboard to analyze ecommerce sales data. 🔹 Key Features: • KPI cards for Total Orders, Average Order Value & Sales • Monthly Sales & Profit Trend • Category-wise Sales Analysis • Regional Profit Distribution • Payment Method Breakdown 🛠️ Tools Used: Power BI • DAX • Excel • Data Visualization This project demonstrates how business intelligence can transform raw sales data into actionable insights.