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noviardhana/README.md

Hi there, I'm Tegas 👋

Diving into the Depths of Data: My Journey from Marine Science to Data Science & Astronomy 🌊 ➔ 🌌

Welcome to my GitHub! I am a passionate data enthusiast with a unique background. Transitioning from Marine Science to pursuing advanced studies in Astronomy at ITB, I love uncovering hidden patterns in complex datasets—whether it's exploring the ocean floor or analyzing the cosmos.

🚀 About Me

  • 🔭 I’m currently seeking new experiences and opportunities in Data Analysis / Data Science.
  • 🌱 I'm currently expanding my analytical horizons by studying a Master's in Astronomy at Institut Teknologi Bandung (ITB).
  • 👯 I’m looking to collaborate on Data Science, Machine Learning, and Astrophysics projects.
  • 💬 Ask me about: Data manipulation, mathematical modeling, and finding the story behind the numbers.
  • 📫 How to reach me: LinkedIn | mail

💻 Competencies

  • Data Engineering & Processing: Data Preparation, Manipulation, Cleansing, and Exploratory Data Analysis (EDA).
  • Statistics & Mathematics: Descriptive Statistics, Mathematical Modeling.
  • Machine Learning: Supervised and Unsupervised Learning, Predictive Modeling.

🧰 Tools & Technologies

Python PostgreSQL SQLite Pandas NumPy SciPy Scikit-Learn Excel

Visualization: Matplotlib, Seaborn


🔬 Highlighted Projects

(Kamu bisa menautkan repositori GitHub-mu di setiap nama proyek di bawah ini)

  • NASA ADS RAG System: Built a Retrieval-Augmented Generation (RAG) system based on the NASA Astrophysics Data System (ADS) to efficiently extract and summarize astronomical literature.
  • Rice Image Classification: Designed a Deep Learning model based on Convolutional Neural Networks (CNN) to automatically classify five rice varieties (Arborio, Basmati, Ipsala, Jasmine, and Karacadag) with high accuracy.
  • ETL Fashion Pipeline: Dicoding Fashion Studio: Built an automated Python-based ETL (Extract, Transform, Load) pipeline to perform web scraping, data transformation, and simultaneous multi-target data loading from a sandbox environment.
  • Comprehensive Data Portfolio (Sanbercode): A curated collection of projects covering the complete data lifecycle, featuring automated data pipelines, web scraping, predictive machine learning modeling, and recommendation systems.

Tegas's GitHub stats

"In data we trust, from the oceans to the stars."

Popular repositories Loading

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    Rakamin Academy Data Science Bootcamp Batch 31

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