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abstract

πŸ’« About Me:

Curriculum Vitae

Data Analyst / Data Scientist with experience in development, research, and analytics both in industry and academy. Strong knowledge of SQL, Python, and data analysis. Honest, responsible, driven, fluent Russian and English proficiency, honed by years of teaching and research.

РСзюмС

Аналитик Π΄Π°Π½Π½Ρ‹Ρ… / Π£Ρ‡Π΅Π½Ρ‹ΠΉ ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ с ΠΎΠΏΡ‹Ρ‚ΠΎΠΌ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ, исслСдований ΠΈ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠΈ Π² индустрии ΠΈ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΠΈ. Π£Π²Π΅Ρ€Π΅Π½Π½ΠΎΠ΅ Π²Π»Π°Π΄Π΅Π½ΠΈΠ΅ SQL, Python, Π°Π½Π°Π»ΠΈΠ·ΠΎΠΌ Π΄Π°Π½Π½Ρ‹Ρ…. ЧСстный, отвСтствСнный, цСлСустрСмлСнный, свободноС Π²Π»Π°Π΄Π΅Π½ΠΈΠ΅ английским, ΠΎΡ‚Ρ‚ΠΎΡ‡Π΅Π½Π½ΠΎΠ΅ Π³ΠΎΠ΄Π°ΠΌΠΈ прСподавания ΠΈ исслСдований.

🌐 Socials:

LinkedIn

πŸ’» Tech Stack:

Python NumPy Pandas SciPy Plotly scikit-learn R

SQL MicrosoftSQLServer Postgres SQLite

Apache Airflow Anaconda Azure

LINUX Shell Script

LaTeX

πŸ“Š GitHub Stats:

Pavel Valov's Projects

icpe2017 icon icpe2017

Transferring Performance Prediction Models Across Different Hardware Platforms. ВрансфСр ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ прогнозирования ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΌΠ΅ΠΆΠ΄Ρƒ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹ΠΌΠΈ ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌΠ°ΠΌΠΈ

icpe2020 icon icpe2020

Transferring Pareto Frontiers across Heterogeneous Hardware Environments. ВрансфСр ΠŸΠ°Ρ€Π΅Ρ‚ΠΎ-Ρ„Ρ€ΠΎΠ½Ρ‚ΠΎΠ² Π² Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π½Ρ‹Ρ… Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π½Ρ‹Ρ… срСдах

newsfeed_ab_testing icon newsfeed_ab_testing

Анализ Π½ΠΎΠ²ΠΎΠ³ΠΎ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΉ для новостной Π»Π΅Π½Ρ‚Ρ‹ с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ A/A ΠΈ A/B тСстирования

newsfeed_airflow icon newsfeed_airflow

Π”Π°Π½Π½Ρ‹ΠΉ Ρ€Π΅ΠΏΠΎΠ·ΠΈΡ‚ΠΎΡ€ΠΈΠΉ содСрТит Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ скрипты для формирования рСгулярных ΠΎΡ‚Ρ‡Π΅Ρ‚ΠΎΠ² ΠΏΠΎ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹ΠΌ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊΠ°ΠΌ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ Apache Airflow ΠΈ Python, с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΉ ΠΎΡ‚ΠΏΡ€Π°Π²ΠΊΠΎΠΉ Π² ClickHouse ΠΈΠ»ΠΈ Telegram

newsfeed_dashboards icon newsfeed_dashboards

Π”Π°ΡˆΠ±ΠΎΡ€Π΄Ρ‹ для изучСния Π°Π½ΠΎΠΌΠ°Π»ΠΈΠΉ Π² ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ ΠΈ ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°, состоящСго ΠΈΠ· Π»Π΅Π½Ρ‚Ρ‹ новостСй ΠΈ мСссСндТСра

splc2015 icon splc2015

Empirical Comparison of Regression Methods for Variability-Aware Performance Prediction. ЭмпиричСскоС сравниС рСгрСссионных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для прСдсказания ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΊΠΎΠ½Ρ„ΠΈΠ³ΡƒΡ€ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… систСм

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