Kate Pleteneva
Angestellt, Computer Vision Engineer, V.A. Technologies
Berlin, Deutschland
Über mich
I have more than 5 years of experience working with data using Python, and over 2 years of experience in Machine Learning and Computer Vision. I'm currently working as a computer vision engineer in a video analysis company where I'm responsible for all of research stages from the formulation of the task and collection of the internal datasets to models implementing.
Werdegang
Berufserfahrung von Kate Pleteneva
Bis heute 3 Jahre und 1 Monat, seit Juni 2021
Computer Vision Engineer
V.A. Technologies
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
1 Jahr und 1 Monat, Mai 2020 - Mai 2021
Machine Learning Engineer
Sberbank
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
1 Jahr und 4 Monate, Feb. 2019 - Mai 2020
Quantitative Analyst
Sberbank
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
1 Jahr und 4 Monate, Okt. 2017 - Jan. 2019
Quantitative Analyst
WorldQuant
Developed more than 200 algorithmic trading strategies using Python
Sprachen
Englisch
Fließend