I am an aspiring Machine Learning Engineer with a strong foundation in Python-based machine learning and hands-on experience building end-to-end ML projects on real-world datasets.
Alongside machine learning, I have experience in frontend web development and backend fundamentals using Spring Boot, allowing me to understand how ML solutions can be integrated into full-stack applications.
Machine Learning & Data
- Supervised Learning (Classification)
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Model Training & Evaluation
- Handling Imbalanced Datasets
Programming
- Python
- Java (Spring Boot – in progress)
Web Development
- HTML, CSS, JavaScript
- Frontend UI Development
- LocalStorage & DOM Manipulation
Libraries & Tools
- Pandas, NumPy
- Scikit-learn
- Matplotlib, Seaborn
- Git & GitHub
- Jupyter Notebook
- VS Code
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Credit Card Fraud Detection Built and compared multiple machine learning classification models on a highly imbalanced real-world dataset.
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Customer Churn Analysis Performed EDA and built a churn prediction model to identify key factors influencing customer retention.
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Myntra Website Clone Frontend e-commerce website clone built using HTML, CSS, and JavaScript.
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Spring Boot Projects (Coming Soon) Backend applications using Spring Boot to build scalable and production-ready services.
- Building practical, reproducible machine learning projects
- Understanding model performance beyond accuracy
- Combining ML with web and backend systems
- Writing clean, well-documented, recruiter-friendly code
- Advanced machine learning techniques
- Spring Boot backend development
- Data structures and algorithms
- GitHub: https://github.com/MaitreyeeRane
- LinkedIn: https://www.linkedin.com/in/maitreyee-rane-ba93a22a4/?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
⭐ Feel free to explore my repositories to see my work in machine learning and web development.