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  • Duesseldorf / Germany

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IronMan2483/README.md

👋 Hi, I’m Katrin.

Family, friends and former colleagues describe me as language-savvy - so why not a programming language? I started with programming in Python in July 2021 to be prepared for the Data Science full-time bootcamp (09-2021 - 12-2021) at neuefische which I completed end of 2021.

Data followed me since school, during my studies and even in my professional career. I am used to jump into the deeper end to grow and learn - never stop learning 😉😉😉

Before I started the Data Science bootcamp I studied Geography and Chemistry at HU in Berlin and worked for over 10 years in HR and Executive Search. I am combining these 2 worlds in Recruiting Analytics now, dealing with global data and able to give data based recommendations for actions.

I am a traveller 🌎🌍🌏 and am crazy about snorkeling with 🐢🐠🐬 - it is the best to reduce the stress level in 1 second 😉

  • 🔭 I’m working with different HR datasets: attrition and diversity

  • 🌱 I’m currently learning more about ChatGPT, HRM and Recommendation Systems

  • 👨‍💻 All of my neue fische projects are available under Projects

  • Find my Capstone project from the neue fische bootcamp here: GitHub | https://www.youtube.com/watch?v=BiMvUGV7Gto&t=6s

  • Created own repos and notebooks based on Kaggle and Zindi Challenges/Datasets are here: Streaming - Movies | Finder for Customer Databases

  • 💬 Ask me about Talent Acquisition strategies, Marvel ❤️ and good movies and series on Netflix and Disney+

  • 📄 Know about my experiences


Connect with me:

https://www.linkedin.com/in/katrin-mulinski-81ab5622/ https://www.xing.com/profile/Katrin_Mulinski/cv ironman2483 https://zindi.africa/users/IronMan2483 https://www.codewars.com/users/IronMan2483

Languages and Tools:

python pandas postgresql popsql scikit_learn matplotlib seaborn plotly hvplot

Pinned Loading

  1. HR_Analytics_IBMDataset HR_Analytics_IBMDataset Public

    This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attr…

    Jupyter Notebook 1

  2. Projects Projects Public

    These are my 2 projects done during the Data Science Bootcamp: King County Real Estate (EDA) and AirQo Ugandan Air Quality Forecast Challenge (Machine Learning)

    Jupyter Notebook

  3. All_About_Basics All_About_Basics Public

    Overview of basics for newbies in Data Science which I update continuously: Matplotlib, Seaborn, Models, Commands, Git and Terminal

    Jupyter Notebook

  4. neuefische_Capstone neuefische_Capstone Public

    Capstone during the Data Science bootcamp: Imbalance Energy Price Prediction with Data Mining, EDA, Machine Learning, Time Series with SARIMA and Prophet, Plots with Matplotlib and Seaborn.

    Jupyter Notebook 1

  5. streaming_movies streaming_movies Public

    Analysis of the big dataset of movies on Disney+, Amazon Prime, Netflix and Hulu. Filter and visualise e.g. most common genres, runtime, languages and directors.

    Jupyter Notebook

  6. Finder Finder Public

    Find customer names, addresses and e.g. filter for specific dates or periods in a dataset. The functions could be used for databases in sales, marketing, recruiting, etc.

    Jupyter Notebook