• 🔭 I’m a Machine Learning Scientist specializing in predictive analytics and causal inference within the medical devices sector. Motivated to solve complex research problems with innovative solutions. I hold a PhD in Physics with a minor in Computational Sciences.

• 🌱 My doctoral research was on "Understanding the Atomic Dynamics in Liquid State Systems" carried out jointly at the Oak Ridge National Laboratory and the University of Tennessee. For further insights into my academic journey, you can explore my dissertation (https://trace.tennessee.edu/utk_graddiss/7398/).

• ⚡ Hobbies: I equally love exploring nature and playing video games! I love playing soccer, reading books (mostly philosophy, economics, history, and science fiction), and scrolling on Twitter.

• 📫 Open to new connections and collaborations. Reach out to me via LinkedIn at (https://www.linkedin.com/in/yadu-sarathchandran/), drop me an email at yadusarathchandran@gmail.com, or engage with me on Twitter (https://twitter.com/Yadukrishnan).

Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), SQL, C++, Bash

Machine Learning: Supervised Learning (Bayesian, Non-parametric, FLD, Regression, Classification), Unsupervised Learning (Clustering, PCA), Mult-Variate Analysis

Deep Learning: Neural Networkss (CNN, RNN, LSTM, Transformers using mostly TensorFlow, PyTorch or Hugging Face), Natural Language Processing (using NLTK, SpaCy)

Frameworks: Git, Spark, AWS (EC2, Lambda, Sagemaker, API Gateway)

Tools: dbt, Looker, HEX, Jupyter

Let's connect!