Julia S. Email & Phone Number
Who is Julia S.? Overview
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Julia S. is listed as Data Scientist at Meta, a company with 5 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Julia S..
Julia S. previously worked as Head Of Analytics at Soax and Lecturer in Data Analysis at Practicum By Yandex. Julia S. holds Master Of Science - Ms, Economics from Luiss Guido Carli University.
Email format at Meta
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About Julia S.
With 6+ years of experience as a Product Analyst and a Data Team Lead, I possess strong analytical skills and diverse knowledge of product analytics both in B2B and B2C segments. I have solid experience in setting up marketing analytics from scratch, from initial tracking integrations to setting KPIs and reporting, both in mobile and web products.Proficient in Python, SQL and multiple Data Vizualization tools, I'm a quick learner and like to try new tools and approaches to increase efficiency and productivity within data teams. I have experience in consulting businesses (usually, startups at early stages) to guide them towards data-driven culture. I'm open to suggestions for collaboration at my email: soloveva.juls@gmail.com
Listed skills include Python, Matlab, Data Analysis, R, and 6 others.
Julia S.'s current company
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Julia S. work experience
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Head Of Analytics
Current
Lecturer In Data Analysis
Mentored students of a Data analysis course, conducted webinars and created learning materials
Data Scientist, Product
- Designed and implemented a user lifetime value prediction model, analyzed ad campaigns and created dashboards, produced recommendations to increase KPIs for UA- Developed from scratch a system of automated reports on marketing and product metrics for executive managers, developed production-ready data pipelines- Researched user behavior, resource and.
Data Scientist, Product
- Developed, scheduled and estimated AB tests on retention and monetization, improved conversion rate to trial- Created and automated dashboards for C-level stakeholders on product health metrics- Supervised Google Ads, Facebook Ads and SearchAds campaigns, developed and tested hypotheses based on user journey data to improve ROI in user acquisition.
Colleagues at Meta
Other employees you can reach at soax.com. View company contacts for 5 employees →
Nikita Kuznetsov
Colleague at Meta
Larnaca, Cyprus, Cyprus
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AG
Alexander Glusov
Colleague at Meta
Rostov, Russia, Russian Federation
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EC
Evgeny Chernyshenko
Colleague at Meta
Russia, Russian Federation
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RM
Roman Martynov
Colleague at Meta
United States, United States
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KS
Kateryna Sakharova
Colleague at Meta
Ukraine, Ukraine
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AK
Alexander Klementyev
Colleague at Meta
Nha Trang, Khanh Hoa, Vietnam, Viet Nam
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AF
Andrew Fliak
Colleague at Meta
Lutska Miska Hromada, Volyn, Ukraine, Ukraine
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VS
Viktoria Sesilyatina
Colleague at Meta
St Petersburg, St Petersburg City, Russia, Russian Federation
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VK
Vladislav Kazazaev
Colleague at Meta
Barnaul, Altai Krai, Russia, Russian Federation
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JC
Jake Cornish
Colleague at Meta
United Kingdom, United Kingdom
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Julia S. education
Master Of Science - Ms, Economics
Bachelor Of Science - Bs, Econometrics And Quantitative Economics
Frequently asked questions about Julia S.
Quick answers generated from the profile data available on this page.
What company does Julia S. work for?
Julia S. works for Meta.
What is Julia S.'s role at Meta?
Julia S. is listed as Data Scientist at Meta.
Where is Julia S. based?
Julia S. is based in Greater Seattle Area, United States, United States while working with Meta.
What companies has Julia S. worked for?
Julia S. has worked for Meta, Soax, Practicum By Yandex, Helio Games, and Windyapp.
Who are Julia S.'s colleagues at Meta?
Julia S.'s colleagues at Meta include Nikita Kuznetsov, Alexander Glusov, Evgeny Chernyshenko, Roman Martynov, and Kateryna Sakharova.
How can I contact Julia S.?
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What schools did Julia S. attend?
Julia S. holds Master Of Science - Ms, Economics from Luiss Guido Carli University.
What skills is Julia S. known for?
Julia S. is listed with skills including Python, Matlab, Data Analysis, R, Microsoft Excel, Machine Learning, Tableau, and Data Visualization.
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