● Data Science · Machine Learning · Cloud

Turning data into
real-world solutions.

Computer Science graduate who explores patterns, builds predictive models, and applies AI to solve real problems.

Python · TensorFlow · Streamlit · Tableau · Power BI · Google Cloud

● What I do

Skills I work with every day.

Machine Learning

Modeling & NLP

Python, TensorFlow, scikit-learn, text classification and hybrid deep learning models.

Data Analyst

Dashboards & storytelling

Power BI, Tableau, Streamlit, pandas and data visualization that answers real questions.

Cloud & Web

Deployment & APIs

Google Cloud (App Engine, Firestore, Cloud Storage), Node.js, Express and Django.

● Publication

Research published on IEEE.

IEEE · ICoICT 2025

The Impact of Using Word Embedding FastText and TF-IDF on Feature Extraction for Cyberbullying Detection with Hybrid Models

Muhammad Adhi Gozalt, Erwin Budi Setiawan · 2025 International Conference on Information and Communication Technology (ICoICT)

Compares FastText embeddings and TF-IDF features for detecting cyberbullying on X (formerly Twitter) using hybrid deep learning models.

86.32%C-RNN accuracy
86.31%C-RNN F1 score
30,000tweets labelled
Fig. 1 — Research model architectureFig. 1 — Research model architecture Fig. 2 — Hybrid C-RNN architectureFig. 2 — Hybrid C-RNN architecture Fig. 3 — Model performance across scenariosFig. 3 — Model performance across scenarios Table IX & X — Feature expansion and final evaluationTable IX & X — Feature expansion and final evaluation Table I — Keywords from 30,000 tweetsTable I — Keywords from 30,000 tweets
Read on IEEE Xplore › DOI ›

● Projects

Things I've built, with previews.

Sales analytics Power BI dashboard Power BI

Sales Analytics Dashboard

Sales performance overview with KPIs, trends and breakdowns by product and region.

View on GitHub ↗
Spotify most streamed artists Power BI dashboard Power BI

Spotify Most Streamed Artists

Artist, genre, demographic and geographic analysis of the most streamed artists on Spotify.

View on GitHub ↗
Cybersecurity breaches Power BI dashboard Power BI

Cybersecurity Breaches Dashboard

Records affected, breach counts and trends by organization and attack method.

View on GitHub ↗
Global military power 2023 Tableau dashboard Tableau

Global Military Power 2023

Defense budgets, personnel and military assets worldwide, with KPIs and interactive maps.

View on GitHub ↗
Paris Olympics 2024 Streamlit app Streamlit

Paris Olympics 2024

Interactive Streamlit dashboard of medals, countries, sports and athlete performance.

View on GitHub ↗
Numeric feature correlation heatmap Jupyter Notebook

Cybersecurity Data Analysis

Exploratory analysis of network traffic data, feature distributions and correlations.

View on GitHub ↗
Correlation heatmap Jupyter Notebook

Social Media, Dopamine & Productivity

Exploratory analysis and visualization practice on a synthetic social media usage dataset.

View on GitHub ↗
Rice production per province chart Jupyter Notebook

Rice Production in Indonesia 2020–2022

Production, productivity and harvested area by province using Statistics Indonesia (BPS) data.

View on GitHub ↗
Tokyo 2020 medals by country chart Jupyter Notebook

Tokyo 2020 Olympics Visualization

Medal distribution, athlete profiles by gender and age, and country participation.

View on GitHub ↗
Education discourse word cloud Jupyter Notebook

Indonesian Education System 2024

Text analysis of 2024 discourse on access, quality and inequality in Indonesian education.

View on GitHub ↗
Data Pipeline

Pipeline Security Monitor

A data pipeline notebook for monitoring and analyzing security events.

View on GitHub ↗
Python

Excel Automation with Python

Scripts that automate repetitive spreadsheet work with Python.

View on GitHub ↗
Hybrid C-RNN architecture IEEE Paper

FastText & TF-IDF for Cyberbullying Detection with Hybrid Models

Published at the 2025 International Conference on Information and Communication Technology (ICoICT).

Read on IEEE Xplore ↗
WearShare presentation video Cloud · Bangkit 2024

WearShare — Capstone Presentation

Bangkit 2024 capstone: cloud infrastructure and secure ML endpoints for a clothing donation app.

Watch the presentation ↓
ML · Cloud

ML Web Server

Node.js server that serves a machine learning model through an HTTP API.

View on GitHub ↗
Node.js

Notes App Back-End

RESTful API for a notes application.

View on GitHub ↗
Express

Express Basic Routing

GET, POST, route parameters and query strings in a small Express app.

View on GitHub ↗

● Cloud Computing

WearShare — Bangkit 2024 Capstone.

WearShare connects clothing donors directly with recipients such as orphanages, with condition assessment, simpler donations and real-time insight into local needs. As part of the Cloud Computing team, I designed the infrastructure and built secure endpoints connecting the ML models with the mobile app.

  • App Engine for deployment
  • Cloud Storage for data
  • Firestore for real-time database
  • Cloud IAM for access control

WearShare · R34 — Bangkit 2024 H1 Presentation & Peer Review

● More on GitHub

Want to see everything?

All repositories › Contact me ›