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Hello, world.

Welcome to my page!
I'm Daniel, Machine Learning & NLP Enthusiast from Frankfurt, Germany .

I am a focused, enthusiastic and diligent young professional, who loves to explore innovation ✨ and smarter decision making 👉 with the help of data science 📊. In particular, I am passionate about machine learning in combination with natural language processing, where I help to understand, analyze, manipulate and potentially generate human language 💬.

I do this by combining my programming proficiency in python 🐍 with my knowledge of state-of-the-art ML frameworks such as Scikit-learn, Keras/Tensorflow and common NLP-tools like NLTK, Spacy or Huggingface Transformers.

My background in business 🎓 finally allows me to turn this fascination not only into performant code 💻, but also into solutions for data-driven actions 🎯. Years of management consulting 👔 experience across different industries provide an ideal foundation to connect the dots between data, technology and business application 🚀.

Where to find me

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Daniel Meyer's Projects

data-centric-deep-learning icon data-centric-deep-learning

Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.

datascienceonaws icon datascienceonaws

Repository containing my coursework Practical Data Science Specialization by deeplearning.ai on Coursera where to develop and scale data science projects into the cloud using Amazon SageMaker

global-time-bot icon global-time-bot

Building a personal assistant/ chatbot by using RASA that tells the current time given a user's location

recsys icon recsys

Build a recommender system for the MovieGeek website

searchtoolwithnlp icon searchtoolwithnlp

Building a custom search engine that’s capable of quickly and accurately sourcing documents from the CDC’s document database.

webshopclassification icon webshopclassification

Developing a classifier which is able to predict whether a web site is an online shop by looking at the HTML content of its main page

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