🎯 Aspiring Data Scientist | Machine Learning Enthusiast | Python Developer

I’m passionate about turning data into insights and building intelligent systems using Machine Learning.
Currently focusing on Data Science, ML algorithms, and real-world projects for placements and industry roles.

• 📊 Data Analysis & Visualization
• 🤖 Machine Learning Model Building
• 🧹 Data Cleaning & Feature Engineering
• 🧠 Statistics & Math for ML
• 🧪 Model Evaluation & Optimization

• Python 🐍
• SQL
• Basic Java (if applicable)

• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn

• Supervised & Unsupervised Learning
• Regression & Classification
• Clustering
• Model Evaluation (Accuracy, Precision, Recall, F1)
• Cross-Validation

• EDA (Exploratory Data Analysis)
• Feature Engineering
• Data Preprocessing
• Statistics & Probability

🔹 Customer Churn Prediction

• Built ML models to predict customer churn
• Used Logistic Regression & Random Forest
• Evaluated using Precision, Recall & F1-Score

🔹 Crop Stress Detection using ML

• Classified crop health using vegetation indices
• Random Forest model + performance metrics
• Heatmap visualization for stress zones

🔹 Sales Data Analysis

• Data cleaning & EDA using Pandas
• Visualized trends using Matplotlib & Seaborn

👉 More projects coming soon…

![GitHub Stats]:https://github.com/Jainrani

• 💼 LinkedIn: https://linkedin.com/in/ranijain22
• 📧 Email:ranijain.cs@gmail.com

⭐ If you like my work, consider giving a star to my repositories!