David Bryan Christiansen | Data Enthusiast | Undergraduate Informatics Engineering Student

David Bryan Christiansen

Data Enthusiast | Undergraduate Informatics Engineering Student

Based in Indonesia, Surabaya

About

I have a passion for learning and developing new skills in the field of IT. I have experience in web development using Laravel and SQL, as well as machine learning using Python. I have also used Tableau for data visualization and analysis. I have been actively involved in various IT-related activities and projects, both as a member and a leader. I have participated in several IT competitions, workshops, and seminars. I have also contributed to the IT division of my student organization, where I helped to create and maintain the website and database. I am a quick learner and a team player. I can adapt to different situations and challenges.

Skills

Projects

Earthquake Activity in Indonesia (2009-2023): An Interactive Analysis

This interactive dashboard visualizes earthquake activity in Indonesia from 2009 to 2023. It highlights the frequency, magnitude, and geographic distribution of seismic events. Users can explore detailed maps and charts to understand trends and patterns in earthquake occurrences.

Waste Production in Indonesia (2020-2022): An Interactive Overview

This interactive dashboard provides an analysis of waste production in Indonesia from 2020 to 2022. It showcases data on the volume and distribution of waste across different regions. Users can explore detailed visualizations to understand trends and patterns in waste management and production.

Predicting Hotel Prices Using Support Vector Regression

Predict hotel prices based on various features such as location, amenities, etc using machine learning. It includes data preprocessing, model training, and evaluation to achieve accurate price predictions. The results offer insights into pricing strategies and help users find the best hotel deals.

Predicting Customer Promotion Acceptance Using Machine Learning

This project uses machine learning to predict customer acceptance of promotions based on demographic and behavioral data. It involves data preprocessing, feature selection, and model training. The insights gained can help businesses optimize their marketing strategies more effectively.

Dapur Nusantara: Indonesian Culinary Exploration App

Dapur Nusantara is a mobile application designed to showcase the rich culinary heritage of Indonesia, it can predict the name of the food using an image. The project was developed as part of Bangkit 2024 Batch 2.