Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


2018 – PRESENT
AI RESEARCHER
•	Was a part of a team that built a unique AI-based technology for whole-genome analysis.
•	Enabled fast and reproducible experimentation by designing and implementing an internal framework for building neural network attribution pipelines. The framework was used to perform and document more than 100 experiments.
•	Reduced sequence analysis time from 1 week to 1 day by selecting, modifying, and implementing string lookup algorithms.
•	Improved understanding of neural network results for biologists by applying modified explainable versions of classic machine learning models.
•	Conducted AI-driven research on the genetics of virus-host interaction.
•	Delivered a conference presentation on the modern state of AI for genome research.

2017 – 2018
TEACHER ASSISTANT
•	Was a teacher assistant for two courses: Artificial Intelligence for 3rd-year students and Machine Learning for graduate students.
•	Created evaluation criteria and a distribution-based process for fair grading.
•	Enabled student success by achieving 20 minutes average response time for online student questions and requests.

2016 – 2018
JUNIOR DATA SCIENTIST
•	Participated in productization of an in-house analytics system for data-driven software delivery management with 50 internal corporate users.
•	Maintained a Deep Learning based apparel recognition system.
•	Delivered two conference presentations on Deep Learning.