Chanin Nantasenamat - Lead Developer Advocate

Chanin Nantasenamat

Lead Developer Advocate

Irvine, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Chanin Nantasenamat is a Lead Developer Advocate and ex-Professor of Bioinformatics who blends deep academic expertise (PhD in Medical Technology) with hands-on developer relations and content creation in data science and LLM apps. Based in Irvine, he builds and ships Streamlit applications and learning challenges, manages developer-focused YouTube channels for Streamlit and Snowflake, and created the widely used #30DaysOfAI/#30DaysOfStreamlit programs. His research background spans bioinformatics, cheminformatics, QSAR and proteochemometrics, informing practical ML workflows implemented in R and Python for drug discovery and predictive modeling. An active open-source contributor, he’s implemented full-stack Streamlit LLM examples and deployed interactive data apps like the penguin species predictor, demonstrating both teaching flair and production-ready engineering. Notably, he parlayed a successful academic career and visiting professorships into a public-facing educational brand, the Data Professor, earning recognition as a thought leader in AI/ML education.

6 years of coding experience

15 years of employment as a software developer

Bachelor of Science (B.Sc.), Biological Science, Bachelor of Science (B.Sc.), Biological Science at Mahidol University International College

Doctor of Philosophy (Ph.D.), Medical Technology, Doctor of Philosophy (Ph.D.), Medical Technology at Mahidol University

High School, High School/Secondary Diplomas and Certificates, High School, High School/Secondary Diplomas and Certificates at University High School, Irvine

English, Thai

Github Skills (29)

data-visualizations10

openai-api10

python10

data-science10

langchain10

scikit10

r10

pandas10

machine-learning10

lm10

data-visualisation10

exploratory-data-analysis10

caret10

llm10

scikit-learn10

Programming languages (4)

RJavaScriptJupyter NotebookPython

Github contributions (5)

dataprofessor/code

Dec 2019 - Jan 2021

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Role in this project:

Data Scientist

Contributions:168 commits, 168 pushes, 1 branch in 1 year 1 month

Contributions summary:Chanin primarily contributed to data analysis and machine learning tasks. Their commits involved creating and updating Python scripts in R and Python for data understanding and classification, specifically focusing on the Iris and DHFR datasets. These contributions included data visualization, model training, and model evaluation utilizing the `caret` and `randomForest` packages. The user also explored missing data handling, model deployment, and parallel processing techniques.

pythonyoutubestatisticscompilationdata-science

dataprofessor/penguins-heroku

Jun 2020 - Nov 2022

Role in this project:

Data Scientist

Contributions:17 commits, 16 pushes, 1 branch in 2 years 5 months

Contributions summary:Chanin primarily focused on developing a Streamlit application for predicting penguin species. Their contributions involved creating the `penguins-app.py` file, incorporating user input features, integrating a pre-trained machine learning model, and displaying prediction results. They also created a model-building script and saved the trained model, demonstrating skills in model deployment and data preprocessing for a predictive task. They also modified the setup file to allow running the app on the cloud.

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