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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Starstruck

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MWiechmann/README.md

👋 Hi there!

I'm Marcel, a Data School Consultant at The Information Lab in Germany. Background in quantitative psychology and statistical consulting, now working in BI and analytics.

🔨 Professional Toolkit

  • Tableau (Certified Data Analyst)
  • Tableau Prep, SQL
  • Alteryx (Core Certified)
  • Python & R

🌱 Current Focus

  • Dashboard development and BI solutions
  • Data preparation and modelling
  • Translating business questions into working analytics

💡 Background

  • Ph.D. in Psychology, University of Sheffield
  • 7 years of freelance statistical consulting
  • Statistical methods: regression, SEM, multilevel modelling, clustering / segmentation, survey analytics

📫 Connect: LinkedIn | Email

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  1. enron_spam_data enron_spam_data Public

    The Enron-Spam dataset preprocessed in a single, clean csv file.

    Python 62 9

  2. enron_spam_filter enron_spam_filter Public

    Building a simple (but hopefully effective) spam filter for E-Mails using a naive Bayes approach on the Enron Spam Dataset

    Jupyter Notebook 1

  3. MWiechmann MWiechmann Public

    Config files for my GitHub profile.

  4. predict_car_prices_knn predict_car_prices_knn Public

    Predict a car's market price with a k-nearest neighbors algorithm.

    Jupyter Notebook

  5. efa_utils efa_utils Public

    Custom utility functions for exploratory factor analysis with the factor_analyzer package.

    Python

  6. anova_utils anova_utils Public

    Custom utility functions for conducting ANOVAs (or ANCOVAs).

    Python