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πŸ‘‹ Hi there

Welcome to my GitHub profile! I'm nitin, and I'm interested in causal inference and data science education, particularly upskilling domain experts and e-learning platforms! When not working, I enjoy bouldering and planning holidays. Here you'll find some of my projects and contributions. I've worked in the past for organisations ranging from education (University of Groningen, Breda University of applied sciences), manufacturing (Bosch), and AI (Naver Labs-XRCE).

🌱 Current Focus

I'm currently exploring the use of GenAI to facilitate hyper-personalized learning paths in the fields of AI and data science. Further, I'm excited to expand my skills in software development, specifically MLOps.

⭐ Projects

Feel free to explore more projects in my repo and provide any feedback or suggestions.

πŸ“« Contact Me

Feel free to reach out to me through the following channels:

Looking forward to connecting and collaborating with like-minded individuals. Let's create something amazing together! πŸš€

Nitin Bhushan's Projects

autoeq icon autoeq

Automatic headphone equalization from frequency responses

cd4ml-scenarios icon cd4ml-scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

cloudcomparer icon cloudcomparer

Compare the various managed cloud services offered by the major public cloud providers in the market.

data-science-slidedecks icon data-science-slidedecks

Slide decks illustrating various topics in data science and AI without complex jargon and unnecessary math

jekyll-ideal-image-slider-include icon jekyll-ideal-image-slider-include

Add image sliders to Jekyll with Ideal Image Slider. HTML include version. Github Pages compatible. (This repository is archived. Issues are disabled. Pull requests will be ignored.)

m6-methods icon m6-methods

Data, Benchmarks, and methods submitted to the M6 forecasting competition

nbhushan icon nbhushan

✨special ✨ repository to add a README.md

pytudes icon pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

scikit-learn icon scikit-learn

scikit-learn: machine learning in Python (glemaitre features)

sequence-modelling icon sequence-modelling

Quasi Deterministic extension to the hidden Markov model for time-series and sequence modelling.

slimdashboard icon slimdashboard

Web application to visualise and analyse high frequency (~1s) sensor data.

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