- Graduated from Mathematics.
- Currently utilizing data to develop solutions.
- I regularly write articles on https://medium.com/@rahmatmamat1
- Credit Risk Calssifier: Develop a credit risk classifier service as an API with BentoML and GCP using XGBoost to predict the likelihood of default and assist credit risk management. Code
- AdTracking Fraud Detection: Create a fraud detection model using XGBoost on ad tracking data and deploy it as a service using FastAPI and GCP to detect and prevent fraudulent activity. Code
- Customer Churn Prediction: Design and build a customer churn prediction service using Logistic Regression model and deploy as an API with Flask and GCP to 82B8 identify at-risk customers and mitigate the potential loss of revenue. Code
- Lung Segmentation on Chest X-Ray Image: Design and develop segmentation model using U-Net Architecture and deploy as an API with Flask and TensorFlow Serving. Code
- Occupancy of isolation rooms and ICUs: Designed and implemented a model to predict the occupancy of isolation rooms and ICUs in Jakarta using the ARIMA method to support decision-making in healthcare operations during the COVID pandemic. Code
- Movie Recommendation System: Develop a recommendation system using collaborative filtering techniques that improves customer retention and generate revenue. Code
- Language Identifier: Building model that can idetify languages using natural language processing techniques and Long Short-Term Memory (LSTM) model. Code
- Rainfall Forcasting in Makassar, Indonesia: Forecast the rainfall in Makassar using Neural Network.
- Customer Segmentation: Utilize DBSCAN and K-Prototype methods to segment and analyze customer data to identify key segments for targeted marketing strategies. Code
- Youtube Trending Videos Analysis: Analyze the trending videos on YouTube by creating visualizations to gain insights into the types of videos that are trending and what keywords are commonly used in their titles. Code
- Library: Numpy, Pandas, Matplotlib, Scipy, Scikit-learn, TensorFlow, Keras.
- Language: Python, SQL, and R.
- Deployment: , Flask, FastAPI, BentoML, Docker, and Google Cloud Platform.
- BI Tools: Tableau, Google Data Studio (Looker Studio), and Microsoft Power BI.