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Achievement: Pull Shark

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dato6091/README.md

Hello, I'm Daniel

Passionate about the world of Data Science

🚀 Welcome to my GitHub! I'm a dedicated data professional with a strong background in crafting robust data solutions and driving business insights. Currently, I am contributing my skills to Retail inMotion, where I specialize in developing scalable data and reporting solutions for the global airline industry.

🛠️ Technical Expertise

  • Languages & Frameworks: Python (Numpy, Pandas, Matplotlib, Tensorflow, Sci-kit Learn), SQL (MySQL, PostgreSQL, Microsoft SQL SMS), R, Apache Spark
  • Data Visualization: Qlik Sense, PowerBI, Tableau, Excel
  • Data Engineering: AWS (Redshift, DMS, S3, EC2, Lambda), Apache Airflow
  • General Knowledge: Algorithms, Data Structures, Object-Oriented Programming, Data Models, A/B Testing
  • Agile Methodologies: Scrum, Kanban

🌱 Always Learning

I am deeply passionate about data science and enjoy staying updated with the latest technologies. My journey involves continuous learning and exploration of new tools and methodologies in the dynamic field of data analytics.

Let's connect and explore the world of data together! 📊🔍

Pinned Loading

  1. AB_Testing AB_Testing Public

    Conduct an A/B Testing on a project

    Jupyter Notebook

  2. AWSDataEngineeringProject AWSDataEngineeringProject Public

    Design of data pipelines to load data into DynamoDB and S3 simulating an streaming service and retrieving that data querying the data from Dynamo.

    Python

  3. Movie-Recommender-System Movie-Recommender-System Public

    Repository to host different movie recommender systems

    Jupyter Notebook

  4. Insurance-prediction---Classification Insurance-prediction---Classification Public

    Study the likelihood of customers to pay for an insurance and develop a model to predict that likelihood

    Jupyter Notebook