Software Skills

Prediction:

• Scikit-learn

• Keras

• Tensorflow

• Genetic Algorithm

Reinforcement Learning:

• Deep Q Network

• Double Deep Q network

• Policy Gradient Ascend

• Actor Critic

Regression:

• LinearRegression

• DecisionTreeRegressor

• SVR

• BaggingRegressor

• AdaBoostRegressor

• RandomForestRegressor

• GradientBoostingRegressor

• XGBRegressor

• LGBMRegressor

• Lasso

• Ridge

• ElasticNet

• HuberRegressor

• LassoLars

• PassiveAggressiveRegressor

• SGDRegressor

• KNeighborsRegressor

• ExtraTreeRegressor

Time Series:

• SARIMA (Seasonal Autoregressive Integrated Moving Average)

• VARMAX (Vector Autoregressive Moving Average with eXogenous regressors)

• Prophet

• DNN: LSTM (Long Short Time Memories)

Computer vision:

• DNN: VGG16

• DNN: Inception

• DNN: Residual

• Mask-R-CNN

• Generative Adversarial Network (GAN)

Classification:

• MLPClassifier

• XGBClassifier

• DecisionTreeClassifier

• GaussianNB

• SVC

• KNeighborsClassifier

• LogisticRegression

• GradientBoostingClassifier

• RandomForestClassifier

• ExtraTreeClassifier

• RadiusNeighborsClassifier

• RidgeClassifierCV

High level:

• Python

• C++

• Matlab

• Arduino

• OriginLab

• Microsoft Office

• Cern Root Data Analysis Framework

• Scilab

• Mechanical design CAD 3D Autodesk Inventor

• Latex

• RAITH150 Two

• Thermal fluid-dynamics modelling and simulations (ESATAN-TMS)

• Affinity Photo

Good knowledge:

• SQL

• R

• Java

• SQLite

• Processing P3

• Blender

• Rhinoceros

• Gimp

Limited ability:

• Interactive Data Language (IDL)

• COMSOL Multiphysics