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  • Paris

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Achievement: Pull Sharkx2Achievement: Quickdraw
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levist7/README.md

user.describe( )

Thanks for checking out my github profile!

With data and coding experience in research and engineering activities, I am deepening my skills in data science and machine learning.

Portfolio

Tech overview

Currently using 💻

Languages: Python, SQL
Libraries: Pandas, Numpy, pySpark, Scrapy, MySQL, PostgreSQL, Matplotlib, Plotly, Sklearn, Tensorflow, Keras
Deployment: Streamlit, Docker, Heroku
Framework: Databricks, Tableau, AWS, VSCode, Jupyter Notebook, Google Colab, Git and GitHub

Learning 🏗️

Language: C++
Cloud: Google Cloud Computing
Framework: MLFlow, PowerBI

Past tech ⌛

Visual Basic, some VBA, some Matlab, little Fortran90.
Scripting for finite element analysis software such as Ansys APDL, Opensees and CAST3M

Pinned

  1. portfolio portfolio Public

    Compilation of my data projects

  2. Credit_Risk_Modelling Credit_Risk_Modelling Public

    Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python

    Jupyter Notebook

  3. GetAround_Project GetAround_Project Public

    Project on Exploratory Data Analysis, Supervised Machine Learning, Dashboard and API Build

    Jupyter Notebook

  4. Civil-Work-Bidding-And-Investment-Helper Civil-Work-Bidding-And-Investment-Helper Public

    Forked from LHB-Group/Civil-Work-Bidding-And-Investment-Helper

    Civil Work Bidding Price Prediction in San Francisco 🏗️ 👷 🚧💸. AI-Powered.

    Jupyter Notebook

  5. NLP_Disaster_Tweet_Analysis NLP_Disaster_Tweet_Analysis Public

    Disaster Tweet Analysis with Natural Language Processing - Deep Learning Models

    Jupyter Notebook

  6. UBER_Pickups_Project UBER_Pickups_Project Public

    Project on EDA and Unsupervised Machine Learning

    HTML