I’m developing android/ios app with React Native and Redux for restaurant order management. I have done UI using designer mock-ups, released new versions to real customers, introduced other team members to idiomatic design patterns, made changes on Laravel server. Also I’m developing web dashboard for restaurant managers using React, Redux, MaterialUI and Sagas.
• Summer practice, Geometrical Methods of Machine Learning (Jun 2017 – Sep 2017). I compared different methods of nonlinear dimensionality reduction and PCA on generated and real data, tried to predict dimension of data and visualized MNIST data reduced to two dimensions. Prediction methods: Levina-Bickel, Isomap, Granata-Carnevale, PCA. Reduction methods: Isomap, LLE, SE, LTSA, MDS, t-SNE. • Out-of-Sample Extensions for SE (Jan 2017 – Jun 2017). I implemented Out-of-Sample Extensions for SE in python library for ml scikit-learn. Algorithm is taken from article ”Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering” Yoshua Bengio, Jean-Franc¸ois Paiement and Pascal Vincent. • Summer practice, Analysis of MNIST (Jun 2016 – Sep 2016). I compared k-NN, SVM, RandomForest, NN models on MNIST data, potted dependence of accuracy on parameters. Tried PCA with different dimensions. Took skelet of image and add this to RandomForest, which improved accuracy. Used scikit-learn, numpy, pandas, tensorflow. • NLP identify author of text (Jan 2016 – Jun 2016). I implemented k-NN model on n-grams of texts to identify author, and web interface made with Flask and React.