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srnurizki/README.md

👋 Hello! I'm Ryo Nurizki 😎

Aspiring Data Scientist with 10+ AI/ML projects engineered, spanning from RAG/LLM, CNN, RNN, Recommender System, to classical Machine Learning. Comfortable with end-to-end MLOps lifecycle and Google Cloud Platform. Experienced in cross-functional collaboration, project management, and structured business problem analysis as an ex-Consulting Project Analyst from a Civil Engineering background. Passionate to architect AI/ML solutions within production-ready environment in Data Scientist or AI/ML Engineer roles.

🛠 Tech Stack

Category Stack
Software Engineering Python Jupyter VSCode Colab PyCharm
Data Management PostgreSQL MySQL MongoDB Railway Supabase BigQuery
Geospatial QGIS
Libraries & Frameworks scikit-learn XGBoost LightGBM pandas NumPy SciPy Optuna Matplotlib Seaborn Plotly Keras TensorFlow PyTorch OpenCV Ultralytics LangChain Haystack LiteLLM HuggingFace
Machine Learning Ops Docker FastAPI GCP MLflow GitHub
Automations Zapier n8n
Visualizations Looker Tableau

📜 Certifications

As a career-shifting Data Scientist, I have forged my proficiency in AI/ML Engineering, mainly backend development, along with Gen AI fluency and teamwork collaboration from several courses and bootcamp.

Institution Program Credentials
Dibimbing.id Data Science and Machine Learning Bootcamp TBA
HackerRank SQL Intermediate Link
Dicoding Machine Learning Applications on Google Cloud Link
Dicoding Programming with Python Link
Dicoding Structured Query Language (SQL) Fundamentals Link
Dicoding Data Science Fundamentals Link
Dicoding AI Fundamentals Link
Anthropic AI Fluency Link
Google Google AI Professional Link
McKinsey.org Forward Learner Link

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  1. skinsense skinsense Public

    AI skincare recommender combining CNN skin analysis with a vectorless RAG agent, deployed on GCP

    Python

  2. outfeats-smartshopper outfeats-smartshopper Public

    Smartshopper RAG AI, namely Outfeats AI, tuned for E-Commerce Shopping inquiries and product recommendations from SHEIN data.

    Python

  3. gather-and-share gather-and-share Public

    AI-powered receipt splitting that handles tax, service charges, and additional fees proportionally so no one overpays or underpays.

    Jupyter Notebook

  4. hybrid-anime-recommender hybrid-anime-recommender Public

    Hybrid anime recommender combining content-based filtering (TF-IDF) and item-based collaborative filtering

    Jupyter Notebook

  5. webservice-cancer webservice-cancer Public

    TensorFlow.js skin cancer detection web service with a Hapi.js backend, deployed on Google Cloud Platform

    JavaScript

  6. customer-churn-classification customer-churn-classification Public

    Bank customer churn prediction with XGBoost, SMOTE resampling, and SHAP-based feature interpretability

    Jupyter Notebook