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Learning
🧑‍💻
Learning
4 followers · 13 following

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Achievement: YOLO

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Achievement: YOLO

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SiddhuShkya/README.md

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An AI & Data enthusiast from Nepal 🇳🇵, aspiring to build a career in AI (Artificial Intelligence) while actively working toward a strong foundation in data engineering. Motivated to learn how data is collected, processed, and transformed into reliable systems that support intelligent models. Enjoys problem-solving through coding, mathematical thinking, and hands-on projects, with a focus on continuous learning and practical implementation to grow into a skilled data professional 🚀📚

🌱 Currently Learning

  • Data Engineering (building robust data pipelines)
  • Data Science (extracting insights from data)
  • Airflow (orchestrating complex workflows)
  • MLflow (managing the ML lifecycle)
  • Docker (containerization & deployment)
  • Machine Learning & Deep Learning (building smarter models)

💡 Interests & Projects

  • Building MLOps pipelines with MLflow and Airflow
  • Developing scalable data architectures and ETL pipelines
  • Creating predictive models and Deep Learning applications
  • Automating workflows with Docker and CI/CD
  • Passionate about open-source and real-world applications of AI

🛠 Tech Stack

  • AI & Data Science: Python (Scikit-Learn, Pandas, NumPy, PyTorch ) & C/C++
  • Database: MySQL, MongoDB, PostgreSQL
  • Data Engineering & Ops: Airflow, SQL, Kafka
  • MLOps: MLflow, Docker, DVC
  • APIs & Web: FastAPI, Flask
  • Tools: Git, Linux (Ubuntu), VS Code, Jupyter Notebook

🌐 Connect with Me

📫 Email: [email protected]
💻 GitHub: @SiddhuShkya
🔗 LinkedIn: Siddhartha Shakya
🧑‍💻 LeetCode: SiddhuShkya

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  1. Machine-Learning-Operations Machine-Learning-Operations Public

    A structured collection of MLOps learning materials, including conceptual notes, practical code examples, workflow experiments, and tooling setups. Covers the complete lifecycle from data managemen…

    Jupyter Notebook 1

  2. Leet-Codes Leet-Codes Public

    This repository contains my solved and documented LeetCode problems , organized by difficulty levels: Easy, Medium, and Hard.

    Python 1

  3. SolarFlare-ETL-Pipeline SolarFlare-ETL-Pipeline Public

    A Dockerized ETL pipeline orchestrating NASA Solar Flare data into PostgreSQL using Apache Airflow.

    Python

  4. Text-Summarizer-With-HF Text-Summarizer-With-HF Public

    An end-to-end Text Summarization pipeline using state-of-the-art Natural Language Processing (NLP) models.

    Jupyter Notebook

  5. Nepal-Forest-AGB-Modeling Nepal-Forest-AGB-Modeling Public

    This project aims to estimate Above Ground Biomass (AGB) in Nepal's forests by combining field inventory data with satellite imagery. It utilizes a machine learning approach to model forest carbon …

    Jupyter Notebook

  6. MachView MachView Public

    A powerful web application designed for processing and downloading satellite imagery using the Google Earth Engine API.

    Python