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Hey there, I'm Feli πŸ‘‹πŸ˜„

I'm a data scientist, machine learning engineer, experienced with full stack production. I'm also a practioner & evangelist of Bayesian statistics.

Tools:

Python

  • sklearn
  • tensorflow/probability (neural networks, structural time series)
  • pymc3
  • gradient boosting (xgboost, catboost, lightgbm)
  • pyspark
  • airflow

Javascript

  • react
  • vue
  • typescript
  • tensorflow.js
  • d3

Dashboard/BI Tools

  • Tableau
  • PowerBI
  • Apache Superset

Rust

  • Holochain
  • Tensorflow Rust
  • Hugging Face

I also speak SQL and R and learning Haskell!

Feel free to reach out here or on linkedin

Recent Projects:

Consulting the City of Seattle on road safety. We're using machine learning predictive models and statistical modeling to analyze traffic collision data. I'm using Bayesian decision theory to make policy recommendations based on our findings and optimizing for efficient use of city resources. Check it out here!

I'm compiling and creating learning resources for Bayesian data analysis and science, called the Bayesian Mixtape

I contribute to numerous opensource projects, including Holo-REA for a post-blockchain operations/accounting library.

I've also contributed to a variety of ML prototypes including a language learning app, a soil nutrition predictor, auction price predictions, fraudulent activity detection dashboard, user specific content recommenders, NLP analysis, ecommerce, and so on.

Also, check out my blog on DS and Bayesian inference for science and business (WIP), and project portfolio.

Feli Gentle's Projects

alacritty icon alacritty

A cross-platform, GPU-accelerated terminal emulator

bayesian-mixtape icon bayesian-mixtape

Compiling notes and resources on Bayesian Probability/Statistical Inference. Materials range from basic concepts, to examples of code, to bayesian deep learning, to notes on the philosophy & logic of plausible reasoning.

casino-bot icon casino-bot

Craps Simulator To Demonstrate Bayesian Inference

deepart---dcgan-and-vae icon deepart---dcgan-and-vae

Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org

diffmorph icon diffmorph

Image morphing without reference points by applying warp maps and optimizing over them.

dtnn icon dtnn

Deep Tensor Neural Network

emp icon emp

Code repository of the Earth Microbiome Project.

gbdt-rs icon gbdt-rs

MesaTEE GBDT-RS : a fast and secure GBDT library, supporting TEEs such as Intel SGX and ARM TrustZone

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.

holo-rea icon holo-rea

A ValueFlows / REA economic network coordination system implemented on Holochain & GraphQL

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