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https://github.com/maxvol/cv

CV
https://github.com/maxvol/cv

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CV

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# Data Scientist / Machine Learning Engineer

## Machine Learning (ML)
* scikit-learn
* SciPy
* XGBoost

## Evolutionary Computation (EC)
GA, GP, ES, PSO, PSO, EDA
* DEAP
* gplearn

## Deep Learning (DL)
* PyTorch
* Tensorflow v1&2
* Swift for Tensorflow (S4TF)

## Data Visualisation
* TIBCO Spotfire
* matplotlib
* Seaborn
* Plotly
* Bokeh

## Forecasting
* ARIMA
* Prophet
* Bayesian Structural Time Series (BSTS)

## Deep Reinforecement Learning (RL/DRL)
* OpenAI Gym
* tf-agents

## Probabilistic Deep Learning (PDL)
max likelihood models, Normalizing Flows (NF), Bayesian Neural Networks (BNN)
* tf-probability
* pyro.ai (Pyro PPL)

## Cloud & BigData
* BigQuery
* Airflow
* Pub/Sub
* PySpark

## Programming Languages
* Python
* Swift
* R
* C
* C++
* Julia

## Digital Marketing

## Web & Customer Analytics

## Data Science

## Statistics
* Causal Impact

## Accounting & Financial Administration
certified

## Special Powers
iOS/iPadOS 14+ general-purpose machine learning libraries:
* MetalPerformanceShadersGraph
* Accelerate/BNNS
* MLCompute

## Certificates
* [Coursera](https://github.com/maxvol/Coursera)
* [DataCamp](https://github.com/maxvol/DataCamp)

## Articles

* [The many flavours of Reinforcement Learning](https://medium.com/@maxim.volgin/the-many-flavours-of-reinforcement-learning-7f9eda6798eb)