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Hello there, I'm Till

Data Analyst / Data Scientist with a degree in biochemistry / molecular biology and future Machine Learning Engineer

As an experienced Data Analyst and Data Scientist with a diploma in biochemistry / molecular biology Iā€™m thrilled about machine learning projects.

SKILLS

  • diploma in biochemistry / molecularbiology
  • work experience in data projects in the scientific field
  • Extensive knowledge and experience with Git(Hub), Python, SQL and NoSQL
  • 20 years of experience with UNIX-based operating systems (gentoo linux, macOS)
  • Applied knowledge of CSS, HTML and Dash for web-based user interfaces
  • Strong documentation skills

I am excited about šŸ‘ØšŸ½ā€šŸ’»

šŸ§  ML
šŸ› ļø Data Mining
šŸŽ® XR/MR-experiences
šŸ§¬ Life-Science

Technologies šŸ’»

Python pandas NumPy Plotly SciPy SciPy TensorFlow Keras PostgreSQL Amazon AWS Visual Studio Code Unity Oculus Google Cardboard Blender Tableau Google Sheets Git

My GitHub Stats šŸ“ˆ

GitHub Top Languages

Connect with me šŸ“«

medium

Till Meineke's Projects

audiocraft_meta icon audiocraft_meta

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

ds-welcome-package icon ds-welcome-package

Repository containing the material students joining the bootcamps should be familiar with. If they are not they can use this repo to practice and learn before the bootcamp start.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

geo-python icon geo-python

A repository for student versions of course Jupyter notebooks

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

haystack icon haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

pytorchnlpbook icon pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

tillmeineke.github.io icon tillmeineke.github.io

Template for quick developer / data science / analytics portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

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