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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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wakura-mbuya/README.md
  • 👋 Hi, I’m Kennedy Wakura
  • 👀I am a junior data engineer with a passion for building data-driven solutions, development of web3 dApps, and developing end-to-end ETL data pipelines.
  • 💞️ I'm skilled in identifying, analyzing, and interpreting trends in datasets using statistical techniques, application of ETL procedures to data, and building visualizations to summarize results.
  • I'm ready to collaborate on Machine Learning, Data Engineering and Web 3 projects
  • 📫 How to reach me:

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  1. Speech-to-text-Kafka-Airflow-Spark/StoTkas Speech-to-text-Kafka-Airflow-Spark/StoTkas Public

    Data engineering pipeline that allows recording millions of Amharic and Swahili speakers reading digital texts in-app and web platforms

    Jupyter Notebook 2 7

  2. Pharmaceutical-Sales-prediction Pharmaceutical-Sales-prediction Public

    Pharmaceutical Sales prediction across multiple stores using Machine Learning

    Jupyter Notebook

  3. Data-warehouse-tech-stack-with-posgreSQL-DBT-Airflow Data-warehouse-tech-stack-with-posgreSQL-DBT-Airflow Public

    A scalable data warehouse that will host the vehicle trajectory data extracted by analysing footage taken by swarm drones and static roadside cameras.

    Python

  4. Speech-to-text-tenac/STT Speech-to-text-tenac/STT Public

    A speech to text implementation for the Amharic and Swahili languages

    Jupyter Notebook 1 13

  5. AgriTech-Project-Data-Engineering AgriTech-Project-Data-Engineering Public

    An easy to use, reliable and well designed python module that domain experts and data scientists can use to fetch, visualise, and transform publicly available satellite and LIDAR data.

    Jupyter Notebook

  6. Amharic-Audio-Collection-ETL Amharic-Audio-Collection-ETL Public

    An ETL pipeline that allows collection of Amharic audio streams in web platform. The pipeline is designed using Apache Kafka, Spark and Airflow.