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Data Scientist / Machine Learning Engineer
- Занятость:
- График работы:
Опыт работы
Июнь 2020 —
февраль 2021
февраль 2021
8 месяцев
deeplearning.ai
Mentor
• Assist students of the NLP specialization with answering their questions and resolving their issues in the forum and on Slack.
Январь 2020 —
февраль 2021
февраль 2021
1 год 1 месяц
deeplearning.ai
Consultant
• help improve new AI/ML educational offerings before they hit the market.
Февраль 2019 —
февраль 2021
февраль 2021
2 года
Luxoft
Senior Python Developer
• ensure financial data quality via automatic checks and manual exploratory analysis;
• construct and maintain data ingestion and processing pipelines;
• participate in development of a portfolio management platform for a hedge fund;
• automate documentation generation.
• construct and maintain data ingestion and processing pipelines;
• participate in development of a portfolio management platform for a hedge fund;
• automate documentation generation.
Сентябрь 2018 —
февраль 2019
февраль 2019
5 месяцев
Kaspersky Lab
Senior Technical Writer
• researched state-of-the-art NLP solutions to integrate them in the documentation pipeline;
• created CNNs and convolutional autoencoders for analyzing images used in documentation to improve their quality;
• documented an SDK for an anti-virus engine.
• created CNNs and convolutional autoencoders for analyzing images used in documentation to improve their quality;
• documented an SDK for an anti-virus engine.
Ноябрь 2016 —
сентябрь 2018
сентябрь 2018
1 год 10 месяцев
Mail.Ru Group
Technical Writer
• co-authored a Big Data user guide for a cloud platform;
• wrote Python scripts to be run on a Spark cluster for checking configuration correctness;
• maintained documentation for an in-house NoSQL solution.
• wrote Python scripts to be run on a Spark cluster for checking configuration correctness;
• maintained documentation for an in-house NoSQL solution.
Июнь 2018 —
август 2018
август 2018
2 месяца
Method Data Science LLC
Community Data Scientist
• created an interactive dashboard for a medical startup to help track scientific progress made on Alzheimer's research;
• built a predictive model for a private equity fund for determining customer lifetime value from raw transaction data;
• conducted technical training sessions for team members.
• built a predictive model for a private equity fund for determining customer lifetime value from raw transaction data;
• conducted technical training sessions for team members.
Декабрь 2017 —
май 2018
май 2018
5 месяцев
Udacity
Classroom Mentor
• provided classroom support (general Q&A sessions, project consultations) to 30+ students enrolled in the Data Analyst Nanodegree;
• beta-tested new courses and Nanodegrees.
• beta-tested new courses and Nanodegrees.
Июнь 2015 —
ноябрь 2016
ноябрь 2016
1 год 5 месяцев
Intel Corporation
Information Developer
• analyzed and classified product reviews on the company forum using machine learning techniques;
• segmented documentation users with clustering algorithms;
• built interactive dashboards and reports for engineers, technical writers, and managers;
• tested and documented computer vision algorithms for the OpenCV team;
• maintained Java, C++, and Python API references for a data analytics and machine learning solution;
• automated generation of documents with Python scripts.
• segmented documentation users with clustering algorithms;
• built interactive dashboards and reports for engineers, technical writers, and managers;
• tested and documented computer vision algorithms for the OpenCV team;
• maintained Java, C++, and Python API references for a data analytics and machine learning solution;
• automated generation of documents with Python scripts.
Обо мне
● Programming languages: Python, R;
● Python ML stack: pandas, numpy, scipy, scikit-learn, nltk;
● DataViz tools: matplotlib, seaborn, ggplot, dash, plotly, D3.js;
● Deep learning frameworks: TensorFlow, Keras, PyTorch;
● Hadoop ecosystem: Spark, Hive, Impala, Sqoop, Zeppelin, Airflow;
● Databases: SQLite, MySQL, MS SQL, PostgreSQL, MongoDB;
● CI/CD tools: Docker, Jenkins;
● Cloud platforms: AWS, IBM Cloud, GCP;
● VCS: Git, Perforce, SVN, TFS;
● Markup syntax: Markdown, wikicode, reST, XML, HTML/CSS.
● Python ML stack: pandas, numpy, scipy, scikit-learn, nltk;
● DataViz tools: matplotlib, seaborn, ggplot, dash, plotly, D3.js;
● Deep learning frameworks: TensorFlow, Keras, PyTorch;
● Hadoop ecosystem: Spark, Hive, Impala, Sqoop, Zeppelin, Airflow;
● Databases: SQLite, MySQL, MS SQL, PostgreSQL, MongoDB;
● CI/CD tools: Docker, Jenkins;
● Cloud platforms: AWS, IBM Cloud, GCP;
● VCS: Git, Perforce, SVN, TFS;
● Markup syntax: Markdown, wikicode, reST, XML, HTML/CSS.
Образование высшее
2018
National Research University Higher School of Economics, Moscow
Faculty of Computer Science, Professional Certificate Program in Modern Data Analytics, Deep Learning and Applications
2012
Dostoevsky Omsk State University
Philology Department, Master of Arts in Russian Linguistics
2010
Dostoevsky Omsk State University
Foreign Languages Department, Specialist in Germanic and Romance Linguistics
Знание языков
Русский — родной
Иностранные языки
Английский — A1 — Начальный
Гражданство, время в пути до работы
- Гражданство:Нет
- Разрешение на работу:Нет
- Желательное время в пути до работы:Не имеет значения