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thecochenille/README.md

Hi there 👋

This is Isabelle!

I am a scientist passionate about data, learning new tools, and coding in Python & R.

As a research scientist and computational biologist who has worked with various data types over the years, I would love to leverage machine learning and data application development to drive actionable insights into business problems.

If you are interested in working with me on a project, message me on Linkedin

What am I up to? (2024)

What data projects am I working on now? (April 2024)

  • Women in Data Science Datathon 2024, part II.

ML Projects:

Data Analytics Projects:

📫 How to reach me: Feel free to connect with me on LinkedIn

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  1. aws-emr-pyspark-churn-model aws-emr-pyspark-churn-model Public

    Music Platform Churn Prediction model using Spark

    HTML

  2. ML_AppenDisaster ML_AppenDisaster Public

    Multi-classification Machine Learning model using Appen data on disaster response

    Jupyter Notebook

  3. stackoverflow_survey2022_CRISP-DM stackoverflow_survey2022_CRISP-DM Public

    Data insights on data science roles from Stackoverflow 2022 survey

    Jupyter Notebook

  4. DataViz_moving_average_LisfrancRecovery DataViz_moving_average_LisfrancRecovery Public

    Data insights from Apple Health data, using moving averages

    Jupyter Notebook

  5. Research_R_bayesian_divergence-time Research_R_bayesian_divergence-time Public

    Includes all command lines and workflow for analyses performed with MrBayes and R in Vea and Grimaldi (2016) Scientific Reports 6, 23487 doi: 10.1038/srep23487

    HTML

  6. IBM_recommendation_engine IBM_recommendation_engine Public

    HTML

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