Projects

E-commerce Image Classification using Deep Learning, November - December 2017
- Classifying user-provided images (~10 million) from e-commerce website into 5000 categories (ResNet, DenseNet, Python, TensorFlow, TfLearn).

Grocery Sales Forecasting, November - December 2017
- Data integration and feature selection followed by PCA and linear, SVM and ANN regression (TfLearn and Scikit-Learn) to obtain best prediction.

Methylation Variation in Colon Cancer, April - May 2017
- Understanding methylation variation in cancer patients using statistical modeling, complex networks and multi-layer clustering (Python, R). Working with little samples and a lot of features dataset.

Language detection using Deep Learning, July 2015
- Learning RNN and LSTM models to detect language of wikipedia corpus (Python, Lasagne, Theano, Java).