Hi, I'm Kristy Natasha Yohanes
I am an AI/ML developer who loves to immerse myself in technology and hands-on development: experimenting with Machine Learning, Natural Language Processing, Cloud Deployments, Software Development, and Arduino projects. To unwind, I find joy in the occasional thrill of wall climbing and archery during my free time.Here's my contact info, CV, and portfolio of my qualifications. You can download the PDF version of my portfolio (with certifications) below:
#
ABOUT ME
I hold a Bachelor's degree from Institute of Technology Bandung (ITB) in Indonesia, specializing in Data Science & AI.
My expertise lies in Python programming, specializing in ML, NLP, CV,
time-series analysis, GNNs, and GenAI.
I have implemented advanced models for anomaly detection, fraud
prevention, personalized recommendations, and built scalable backend systems.
I am also proficient in SQL, Javascript, C++, BI tools (Looker Studio, Tableau, Power BI), and Cloud Deployment (Compute Engine VM, Cloud Functions, Docker, and K8s.)
Projects & Case Studies
Throughout my academic and professional journey, I've actively participated in projects focused on developing forecasting models and conducting weather data analysis utilizing machine learning techniques, notably the hybrid ANN-ARIMA for predicting monsoonal patterns.Additionally, I contributed to community service initiatives by integrating the Weather Research and Forecasting (WRF) computational model to develop advanced flood risk assessment tools and designed user-centric web applications to distribute early warning alerts, enhancing proactive disaster mitigation strategies.
Achievements & Publications
-
Semifinalist AI Hackathon Bank Indonesia - FEKDI 2024
-
Top 10 Scientific Paper Physics Fair Padjadjaran University
-
Top 10 Scientific Paper Economic Finance Study Club Diponegoro University
PUBLISHED: Propagation Characteristics of Madden Julian Oscillation in the Indonesian Maritime Continent: Case Studies for 2020-2022, Agromet Journal, doi: 10.29244/j.agromet.38.1.1-12PREPRINT / UNDER REVIEW: An Elementary Approach to Predicting Indonesian Monsoon Index: Combining Ann-Arima Hybrid Method and Practical Use
GitHub: Mock Projects
One of my enjoyable side projects I'm proud of is the YouTube video recommendation insights project. I utilized the YouTube Data API and NLP to analyze users' watch histories, uncovering insights into video recommendations. Key features include OAuth 2.0 integration, transcript analysis, keyword extraction, visualization, and data export capabilities.
Another one is on Customer Goods Data Modeling project that addresses industrial challenges through predictive modeling for daily sales quantity and customer segmentation. It utilizes PostgreSQL and DBeaver for data ingestion, Tableau Public for interactive dashboards, Python in Google Colab for predictive modeling, including time series ARIMA, and clustering techniques.
Professional Certifications
-
AML and Data Governance: Risk-Based Mentoring Program for Crimes of Money Laundering and Terrorism Financing in Human Trafficking and Financial Technology Crimes - PPATK
-
Data Science: Certificate of Competencies - Kalbe Nutritionals Data Scientist Project Based Internship Program
-
Full-Stack Development: Certificate of Competencies - BTPN Syariah Fullstack Developer Project Based Internship Program
Coursework Certifications
-
Computer Science for Artificial Intelligence (CS50) - Harvard University
-
Google Cloud Professional Machine Learning Engineer Cert Prep - Google Developers
-
Artificial Intelligence on Microsoft Azure - Microsoft
-
The Full Stack - Meta
-
SQL for Data Science - UC Davis
-
Python for Data Science, AI & Development - IBM
-
Bootcamp E-Learning: Data Science, Website Development/Backend (Python, Flask) - MySkill
-
Intro to Data Analytics - RevoU
-
Data Programming - Sololearn
-
Data Visualization ShortClass - MySkill
-
Intensive Bootcamp: Data Analysis - MySkill x Deloitte
-
Power BI Essential Training - LinkedIn Learning
-
Companies and Climate Change - ESSEC Business School
-
The Science of The Solar System - Caltech
-
The Evolving Universe - Caltech
WORK
EXPERIENCE
TECH STACKS | |
---|---|
Programming Languages: | Python, SQL, Javascript, C++ |
Libraries/Tools: | ML (Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV, ARIMA, LSTM), NLP (NLTK, HuggingFace, spaCy), Visualization (Matplotlib, Seaborn, Pandas, NumPy, Plotly), Graph Networks (NetworkX, RGCNconv, HGTconv), Generative AI (GPT-4, Llama, Stable Diffusion (SDXL)), LLM Framework (OpenAI) |
Databases: | PostgreSQL, BigQuery, MySQL, DBMS (DBeaver) |
Development: | Code Editor (VS Code, Google Colab), Version Control (Git), Backend Frameworks (Flask, Django, Gin) |
Deployment: | Compute Engine VM, Cloud Functions, Docker, Kubernetes |