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A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.

License: MIT License

Python 100.00%
bias-detection data-drift data-science machine-learning model-explainability object-oriented-programming auto-eda experiment-tracking ml-experiments

whizml's Introduction

Welcome to my GitHub Profile Page 👋

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About Me

  • 🔭 I focus on data science, machine learning, and business analytics.
  • 🖥 I mainly use Python, SQL, and R.
  • 💼 I have over 2 years of experience as a data & analytics consultant where I supported MLOps implementation, data automation, data management, and digital transformation projects.
  • 🎓 I studied Actuarial Science in Heriot-Watt University, under the School of Mathematical & Computer Sciences, and am currently doing a Master's in Business Analytics at Nanyang Business School, in Nanyang Technological University.
  • 📍 I'm currently based in Singapore.
  • 🔗 For more details, visit my Linkedin profile.

Competencies

Technical

Data Science ML MLOps Data Engineering Business Analytics Statistical Modelling Cloud DevOps

Business

Financical Products LI GI Accounting CRM Customer360

Tech Stack

Tech Stack

Connect with Me

Feel free to reach out to me via Linkedin or by Email!

gianatmaja gianatmaja

whizml's People

Contributors

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