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benoitchamot/README.md

Hi there, I am Benoit

What do I bring?

  • Proficiency with Python, SQL and MongoDB (read more below!)
  • 10+ years of experience in the space industry
  • Engineer = scientific mind and problem-solver
  • Business developer = communication and relationship building

Programming skills

  • Python (I have used it since about 2012 for data cleaning and mining) - some modules I am particularly familiar with are pandas, matplotlib, scipy, Flask, pymongo and SQLAlchemy... The projects I have worked on includes space mission design (as part of my work), web scraping, data analytics, neural networks, simple game design (text-based and 2D), etc.
  • HTML5 and JavaScript (I have built websites since 2004 or so and HTML was my first introduction to programming) - I enjoy building interactive dashboard with HTML5, based on a Bootstrap structure and including Plotly.js, Leaflet.js, D3.js and AnyChart.js. I am planning to explore more of what JavaScript has to offer.
  • MongoDB, SQLite and Postgres (I have used NoSQL and SQL databases in many projects) - I like the flexibility of MongoDB but I usually rely on SQLite for small projects. I have experience with Google BigQuery too.
  • Excel (I have built extensive dashboards in Excel during my career to report on sales activities and prepare forecast for production teams) - I usually start all my projects with some quick prototyping in Excel before moving to Python
  • R (I have started using this language only recently and I am still exploring its potential) - I love learning new programming languages and adding them to my skillset.

Monash University's Data Analytics Bootcamp

Graduated in Nov. 2023

This intensive program goes into a lot of details and is built around practical assignments and projects (many of which can be found in my repositories.) It helped me update my programming skills, especially in Python, and formalise over a decade of self-learning about data manipulation and numerical analysis.

Google Data Analytics Specialization

Graduated in Sep. 2023

This course started my journey as a Data Analyst and gave me an overview of the complete Data Analytics process.

Pinned

  1. MovieNerd MovieNerd Public

    An interactive dashboard built on JavaScript and Python (Flask) to show information about movies ratings and gender inequalities in the film industry.

    Jupyter Notebook 3 2

  2. Earthquakes Earthquakes Public

    A simple dashboard showing all earthquakes measured in the last 7 or 30 days.

    JavaScript 2

  3. credit-risk-classification credit-risk-classification Public

    Train and evaluate a model based on loan risk.

    Jupyter Notebook

  4. CryptoClustering CryptoClustering Public

    Predict if cryptocurrencies are affected by 24-hour or 7-day price changes

    Jupyter Notebook 2

  5. Shootings Shootings Public

    Identify potential perpetratrors of mass shootings based on criminal and census information, and data about prevalence of mental illness and autism in the general US population.

    Jupyter Notebook 1

  6. AirQuality_and_Happiness AirQuality_and_Happiness Public

    An analysis of the correlation between air quality and quality of life (longevity, respiratory issues and happiness)

    Jupyter Notebook 2