D

data visualization

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

This project focuses on analyzing and categorizing student projects to uncover patterns, themes, and insights. It provides tools for organizing project data and visualizing results, enabling deeper understanding and effective decision-making.

Research, code, algorithms and all related to artificial intelligence

Praktisi Mengajar 2024 Teknik Informatika Universitas Nusa Putra

An application for immediate treatment in emergency situations via centrally managed health camps.

Trabajo en que se demuestra el trabajo con imágenes satelitales

Search for patterns in river water samples data

This project contains the source files I used in a free-lance project for a book reseller.

Python environment setup SQL (mariadb) database configuration setup of a Python-mariadb connector Data enrichment with the seller's local currency value in time. Data analysis with Python [pandas, scikit-learn, matplotlib, seaborn] Brief interpretation of the data is present in the notebook.

Personal Jupyter Notebooks with Open Data.

This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.

This is part of ResBE project: https://iotgarage.net/projects/ResilientBuiltEnvironments.html

Data Analysis and Visualization

Machine Learning - Binary Classification

Machine Learning - Multiclass Classification

2018 Data Science Project

Are you getting ripped off on rent?

Fall 2017 CS 506 Computational Tools for Data Science Poster session

Application of Machine Learning for Identification and Prediction of Success of Crowdfunding Projects