Position: Junior Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0.5


uData Tech (October 2018 - November 2018)
Junior Data Scientist
Projects Description:
1. Medicine project. Analyse the most frequent diseases from dataset by protocols and make association rules with related disease, symptoms and medical tests. Python was used for data analysis and model development.
2. Image classification to detection pneumonia. Transfer Learning (pretrained Convolutional Neural Networks from keras (ResNet50, VGG16) on the first layers and Dense layers in the end) was used to solve the project. 

uData School (May 2018 - September 2018)
Junior Data Scientist

Projects Description:
1. Medicine project. Based on the sequence prediction we got quality prediction model that helps doctors understand what disease risk has their patient. Recurrent Neural Networks (LSTM), recommendation systems, association rules were used to solve the project.
2. Finance project. Find out is the disposition effect good or bad.

Responsibilities:
• Preprocessing row data: cleaning, fill in the gaps, outlier detection.
• Visualization of data with Python(Matplotlib, Seaborn).
• Creation business features and building the model using machine learning and deep learning techniques.
• Obtained the working model for business.