# Machine Learning Pipeline from sklearn.ensemble import RandomForestClassifier model = RandomForestClassifier(n_estimators=100)
-- SQL Data Analysis SELECT customer_id, AVG(purchase_amount) FROM transactions GROUP BY customer_id
# Deep Learning with TensorFlow import tensorflow as tf model = tf.keras.Sequential( tf.keras.layers.Dense(128, activation='relu') ])
Ezra Hernowo
// Data Scientist & AI/ML Engineer
Transforming complex datasets into intelligent solutions through machine learning and statistical analysis
// About Me
Building Intelligence from Data
I'm a passionate data science student with a deep fascination for machine learning and statistical analysis. My journey began with curiosity about how data could tell stories and evolved into building predictive models that solve real-world problems.
Currently pursuing my studies while working on practical projects that span from emergency response optimization to space launch predictions. I believe in the power of data to drive meaningful decisions.
// Expertise
Data Analysis & Visualization
Transforming raw data into compelling visual narratives using Python, R, and advanced visualization libraries to uncover hidden patterns and insights.
Machine Learning & Deep Learning
Building and deploying predictive models for classification, regression, and forecasting using cutting-edge ML/DL frameworks and neural network architectures.
Cloud & MLOps
Deploying scalable data solutions and ML pipelines on cloud platforms with containerization and automated workflows.
// Technical Proficiency
Programming Languages
Tools & Frameworks
// Experience
Research Intern
Jul 2025 - PresentESCL Chungnam National University • South Korea • Internship
Applying Machine Learning and Deep Learning algorithm to predict Battery State Estimation
Data Annotator (Apple Project)
Aug 2024 - PresentTelus Digital • Remote • Freelance
Enhanced machine learning search systems for Apple TV, App Store, and Apple Music by evaluating 35–40 query-result pairs per hour, identifying relevance gaps, and providing detailed feedback to improve algorithm accuracy and user experience.
Student Ambassador
Oct 2022 - Aug 2023Cheongju University International Affairs • South Korea • Part-time
Managed the Cheongju University booth at the "Study in Korea" fair in Senayan with over 600 leads, delivered presentations at high schools in Jakarta and Tangerang, coordinated business trips with university leadership to Indonesia, and assisted prospective students with admission-related information.
Social Media Specialist
Oct 2022 - Jan 2023Cheongju University International Affairs • South Korea • Part-time
Created engaging Instagram and Facebook ad content using Adobe software to attract prospective students and strengthen Cheongju University's brand presence.
// Featured Projects
A collection of data science projects spanning machine learning, deep learning, and data analysis.
AI Waste Sorting Patent Analysis
Analysis of patents in the AI waste sorting industry to identify technological trends and key players.
Mistral 7B Finetuning Pipeline
Complete fine-tuning pipeline for Mistral 7B using Hugging Face Transformers and PyTorch on RTX 3060. Implemented custom dataset training with WandB monitoring, GGUF export, and Hugging Face deployment.
SpaceX Landing Prediction
Machine learning classification model to predict SpaceX Falcon 9 landing success. Implemented multiple algorithms and created an interactive dashboard for data exploration.
911 Emergency Calls Analysis
Comprehensive analysis of Montgomery County's 911 call data to identify spatial and temporal patterns. Created interactive heatmaps and visualizations to optimize emergency response strategies.
Bus Traffic Pattern Analysis
Analysis of Gwangju Metropolitan City's bus transportation data to identify peak travel times and optimize route planning using geospatial analysis techniques.
Car Price Prediction Model
Multiple linear regression model to predict car prices using various features including make, model, year, mileage, and engine specifications. Comprehensive feature engineering and model evaluation.
// Interactive Lab
Live demonstrations of my work in production. These are fully functional applications showcasing real-world data science implementations.
Lead Scoring Pipeline
Production ML pipeline for predicting customer conversion probability. Features real-time predictions with a Flask API and interactive web interface.
AI Chatbot Platform
Custom fine-tuned language model deployed on RunPod infrastructure. Demonstrates end-to-end ML model training, deployment, and serving.
// Recognition
Machine Learning Specialization
July 2025
Google Advanced Data Analytics
Sept 2024
IBM Data Science Professional
Sept 2024
IBM Applied Data Science
Sept 2024
HKUST Python & Statistics
Aug 2024
Grand Prize
Patent Big Data Analysis
SYP 2023
Excellence Award
Patent Data Visualization
SYP 2022
Excellence Award
IP-R&D Competition
CIPC 2022
// Let's Build Something Together
I'm currently available for freelance projects and full-time opportunities. Whether you need data insights, ML models, or just want to discuss the latest in AI, let's connect.
Send me a message
Direct Contact
Quick Response
I typically respond to messages within 24 hours. For urgent inquiries, feel free to connect with me on LinkedIn.