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Achievement: Pull Shark

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selengetu/README.md

Well hello there! ✨

I am Selenge Tulga (Sam), a data engineer with experience in handling complex data projects. Previously, I worked as a software engineer for 6 years in the railway industry, where I developed robust software and data solutions honed my technical skills.

LinkedIn Email

Skills and Technologies 🐱‍💻

  • Programming Languages: Python, SQL, R, Java, PHP
  • Data Processing: Apache Spark, AWS Glue, ETL Processes, Apache Airflow, Apache Kafka
  • Databases: MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Redshift, DynamoDB
  • Cloud Computing: AWS (EC2, S3, Lambda, DynamoDB, Athena, Step Functions), Azure, Google Cloud Platform
  • Data Visualization & Analytics: Tableau, Power BI, Amazon QuickSight
  • Machine Learning Libraries: Pandas, NumPy, TensorFlow

More about me 🪆

  • 👩‍💼 Data Science master's student at UofR and certified by AWS and Databricks, applying data engineering skills to rehabilitation research.
  • 🌱 I’m currently learning system design, focusing on scalable architecture and microservices.
  • 🔭 I’m currently working on Data engineer projects and AWS certifications.

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  1. End-to-end-Sentiment-Data-Project End-to-end-Sentiment-Data-Project Public

    Forked from lpalum/dscc202-402-spring2024

    A real-time data streaming and sentiment analysis pipeline using Apache Spark on Databricks, structured into bronze, silver, and gold stages. It features MLflow for model tracking and demonstrates …

    Jupyter Notebook

  2. Motion_Lab_Data_Integration Motion_Lab_Data_Integration Public

    Developed a robust database and analytics platform using Python and SQL to manage and analyze complex biomechanical data, including EEG, EMG, and kinematic measurements.

    Jupyter Notebook

  3. EDA-Open-Asteroid-Dataset EDA-Open-Asteroid-Dataset Public

    Forked from Shakleen/EDA-Open-Asteroid-Dataset

    EDA of the open asteroid dataset utilizes R and statistical methods

  4. TwoWars TwoWars Public

    Employing the Reddit Praw API, extracted comments, formulated prompts for stance analysis, utilized Llama2 for both training and prediction purposes.

    Jupyter Notebook