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rhowsane/README.md

Rhosane Silva dos Santos

Data scientist with engineering background interested in solving problems using Python, SQL and PowerBI.

  • 👩🏽‍💻 Techs & Tools: •Python •Spark • SQL • Git • Power BI • R • Linux Shell
  • ☁️ Cloud: •Azure-Databricks •Notions of AWS
  • 📫 How to reach me: LinkedIn
  • 🌱 I started to share some data science ideas here: Medium
  • My background:
    🇫🇷 Master in Data Science and AI at DSTI (2022-2024)
    🇧🇷 Master of Science in Mechanical-Aeronautics engineering at ITA (2016-2021)
    🇫🇷 Engineering Academical exchange at Arts et Métiers (2019-2021)
  • My professional portfolio: portfolio

Personal projects

Data analysis

  • Ramen ratings: performed some exploratory data analysis (EDA) and visualizations with boxplot.
  • Retail sales: built a PowerBI report with demographic and sales indicators.

Data science

  • Customer segmentation: proceeded customer segmentation from customers of an e-commerce retail platform. You can read my analysis on this Medium page.
    Keywords: data manipulation, outliers treatement, standardization, clusterization, K-Means, scatterplot, business discussion.
  • Book's ratings: worked in group to predict the ratings of a book from the platform Goodreads.
    Keywords: git, one hot encoding, label encoder, Random Forest Regressor, model evaluation, Docker.
  • Watertable prediction hackthon: predicted the levels of surface of water in groundwater surface in a classification approach.
    Keywords: ordinal encoder, lightGBMClassifier, FLAML, feature importance.

Pinned Loading

  1. Pick-and-place-using-Deep-Learning Pick-and-place-using-Deep-Learning Public

    Repo used to make a simulation using ROS of a pick-and-place operation using the Panda robot. Synthetic data generation.

    Python 2

  2. DS-projects DS-projects Public

    Showcase of projects in Data Science and Data Analytics

    Jupyter Notebook

  3. viet-goodreads viet-goodreads Public

    Group project to forecast book's ratings

    Jupyter Notebook 1

  4. Hickathon Hickathon Public

    Code for the H!ckathon 5th edition. Final score: 54%. Multiclassification with 5 labels.

    Jupyter Notebook