Kate Pleteneva

Developed and implemented an MVP to find abandoned objects in videos from scratch, which included several deep learning models, such as classification and segmentation models Fine-tuned interactive image segmentation open source model on domain data. Mentored a junior computer vision researcher, and helped to improve his skills. He developed several important models under my supervision

Responsible for all of the research stages: reformulation of the business case to ML-problem with business stakeholders, collection of the internal datasets, creation and implementation models Developed and implemented a classification model to decrease outflow level during the enrollment period for mortgage insurance, so that outflow level decreased by 10% Developed and implemented a classification model to select a call script for customers after buying investment products to reduce contact center costs

Developed and implemented an algorithm for the assets selections for investment strategies and option pricing model Developed and implemented models to predict expected profitability and backtesting investment strategies using Python Independently developed automation for preparation of a monthly analytical report by decreasing run time from 2 days to 1 hour

Developed more than 200 algorithmic trading strategies using Python