I'm a recent graduate from Universitas Multimedia Nusantara, Majoring in Information Systems (GPA 3.85/4.00) with a specialization in Big Data Analytics. I am passionate about building end-to-end data products that solve real-world problems—from scraping and processing raw data to developing predictive models and deploying interactive applications. My experience as a Product Owner has given me a strong foundation in project management and translating business needs into data-driven solutions.

Here are the technologies I work with:

Languages & Databases:

Data Science & Machine Learning:

BI, Visualization & Deployment:

Here are some of the projects I'm proud of. They showcase my ability to handle the entire data science lifecycle.

An end-to-end data science project that predicts house prices in Tangerang. The pipeline includes web scraping from Rumah123.com, comprehensive EDA, advanced regression modeling with Optuna, and an interactive Streamlit application containerized with Docker.

• Tech Stack: Python, Selenium, Scikit-learn, XGBoost, Optuna, Streamlit, Docker
• GitHub Repository 📂

A classification model to predict customer churn for a telecommunications company. This project features advanced techniques like SMOTE for handling class imbalance and Optuna for efficient hyperparameter tuning, resulting in a model that can identify 71% of potential churners.

• Tech Stack: Python, Scikit-learn, XGBoost, Optuna, SMOTE
• GitHub Repository 📂

An unsupervised learning project to segment customers for an e-commerce business using RFM analysis and K-Means clustering. The analysis provides actionable insights for targeted marketing campaigns to high-value and at-risk customer groups.

• Tech Stack: Python, Pandas, Scikit-learn, Seaborn
• GitHub Repository 📂

• Email: daffakpc21@gmail.com
• LinkedIn: https://www.linkedin.com/in/daffakaisha/
• Kaggle: https://www.kaggle.com/daffakaisha