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vizca808/README.md

Hi, I'm Faisal Dino Bahtiar πŸ‘‹

Data Enthusiast & Information Systems Professional πŸš€

Crafting data-driven solutions and digital experiences


πŸ‘¨β€πŸ’» About Me

Information Systems professional with experience in data science, data analysis, administration, and customer-facing roles. Skilled in SQL, Python, Machine Learning, Google Data Studio, and interactive dashboard development, with the ability to manage and process information accurately and efficiently. Possesses strong communication, teamwork, and problem-solving abilities, with a passion for learning and professional growth.


πŸ“Š Project Focus & Domain Distribution

Data Science       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   50% (5 Projects)
Web Development    β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   30% (3 Projects)
Data Analytics     β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   20% (2 Projects)
Domain Repositories & Key Focus Share
🧠 Data Science & Machine Learning Analisis-Prediksi-Timbunan-Sampah, predicting-jakarta-pollution-ispu, prediksi-kemiskinan-dengan-knn, Causal-Inference, Personal-automated-knowledge 50%
🌐 Web & Fullstack Dev ficash-ai, Data-Assistant, mmmmmmmm (Web Portfolio) 30%
πŸ“ˆ Data Analytics & BI streamlit_manage_keuangan, Sreamlit 20%

πŸ› οΈ Tech Stack & Tools


πŸ† Certifications & Training


πŸ“ˆ GitHub Profile Summary

Pinned Loading

  1. Data-Assistant Data-Assistant Public

    TypeScript

  2. prediksi-kemiskinan-dengan-knn prediksi-kemiskinan-dengan-knn Public

    Prediksi tingkat kemiskinan di Indonesia menggunakan algoritma K-Nearest Neighbors (KNN) & PCA.

    Jupyter Notebook

  3. predicting-jakarta-pollution-ispu predicting-jakarta-pollution-ispu Public

    Analisis dan prediksi tingkat polusi udara (ISPU/AQI) di DKI Jakarta menggunakan Random Forest Regressor & GridSearchCV.

    Jupyter Notebook

  4. Analisis-Prediksi-Timbunan-Sampah Analisis-Prediksi-Timbunan-Sampah Public

    Analisis dan prediksi timbunan sampah nasional (SIPSN KLHK) menggunakan Machine Learning (XGBoost, Stacking, Random Forest), Deep Learning (LSTM), dan Time Series (ARIMA).

    Jupyter Notebook