Olga Yakovleva
Product Business Analyst at ATOM
Moscow, Moscow City, Russia
Summary
🤩
Rockstar🎓
Top SchoolOlga Yakovleva is a Product Business Analyst with 15 years’ experience building data-driven products and end-to-end solutions across finance, logistics, automotive and enterprise software. She blends product ownership and business analysis—leading market discovery, stakeholder interviews, UX prototyping and data architecture—to deliver MVPs and automate complex workflows. Her background in SQL/ML requirements, OLAP design and ETL automation complements hands-on work with agile teams to improve metrics like lead conversion and delivery times. Olga also contributes to open-source speech synthesis (RHVoice), adding TTS, pronunciation and volume controls—an indication of technical depth beyond typical product roles. Based in Moscow, she holds a Master’s in Business Analytics from HSE and is known for turning ambiguous processes into measurable, deployable products.
15 years of coding experience
5 years of employment as a software developer
Магистр, Бизнес-аналитика, Магистр, Бизнес-аналитика at Высшая Школа Экономики
Английский
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
ssml10
speech-to-text10
text-to-speech10
c-language10
api10
cprogramming-language10
apidoc10
cross-platform8
platform-independent8
multiplatform8
wp-api7
winapi7
ws-api7
android-sdk4
python4
Programming languages (3)
Github contributions (5)
RHVoice/RHVoice
Jul 2010 - Nov 2022
a free and open source speech synthesizer for Russian and other languages
Role in this project:
Back-end Developer & API Developer
Back-end Developer & API DeveloperContributions:1 review, 1078 commits, 283 PRs in 12 years 5 months
Contributions summary:Olga significantly enhanced the RHVoice text-to-speech synthesizer by implementing new features and expanding functionality. Key contributions include the addition of volume control features in the application's main interface, as well as in the NVDA and SAPI5 synthesizers to enable audio adjustments and enhanced flexibility for users. The developer also integrated support for pronunciation modifications via user-defined dictionaries, as well as enhanced phonetic transcription and word breaking to support the project's SSML/TTS-based text processing features.
text-to-speechesperantosynthesizergeorgianspeech-recognition
minsk-hackerspace/RHVoice
Sep 2015 - Feb 2020
Contributions:591 commits in 4 years 5 months
synthesizerspeech-recognitionaudiospeech-synthesisspeech-synthesizer
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