Anna Timoshenko Email and Phone Number
Anna Timoshenko work email
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Anna Timoshenko personal email
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With extensive experience in data modelling and analytics, I have developed comprehensive reporting systems and delivered end-to-end BI projects. My passion is making data clean, accessible, and reliable and ensuring high data quality within cloud-based architectures. I use SQL and Python daily for ad-hoc analysis and data manipulation on large datasets. Built dbt data models in Snowflake, boosting data processing performance by 25%.𝗠𝘆 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀:• Root cause analysis and deriving insights from data• Building highly intuitive, interactive dashboards• Development of ETL/ELT processes• Designing data warehouses and building data pipelines• Writing and optimizing complex SQL queries• Leveraging Python for orchestration and Exploratory Data Analysis (EDA)𝗠𝘆 𝘁𝗼𝗼𝗹𝗸𝗶𝘁:Cloud Solutions: Azure (Data Factory, Azure Blob Storage, Azure Databricks), AWS (Athena, S3), GCP (Google BigQuery)DBMS / Data Warehousing: PostgreSQL, ClickHouse, Databricks, SnowflakeData Analysis / Manipulation: PandasETL / Orchestration Tools: dbt, AirflowProgramming / Scripting Languages: Python, SQL, BashContainerisation: DockerGenerative AI/LLM: Experience with Large Language Models (LLMs) and Generative AIVersion Control Tools: Git, GitHubBI / Visualisation: Tableau, Power BI, Superset, matplotlib, seabornLet’s connect and explore how my expertise can add value to your projects. Feel free to reach out!𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝗲𝗺𝗮𝗶𝗹: 01anna.timoshenko@gmail.com
Appodeal
View- Website:
- appodeal.com
- Employees:
- 57
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Data AnalystAppodeal Dec 2024 - Present
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Data Quality EngineerNtropy Jan 2023 - Dec 2024London Area, United Kingdom* Conducted analysis and delivered weekly reports on data quality issues, using SQL, Python and statistical methods to measure the accuracy of financial transaction data enrichment. Supplied Backend and Machine Learning engineering teams with actionable recommendations, which contributed to a 11% boost in data accuracy.* Reduced reporting time by 40% by automating report generation, integrating multiple data sources, and creating BI dashboards. Effectively communicated data insights to non-technical colleagues, supporting strategic actions.* Performed prompt engineering experiments, curated datasets, optimised data preparation and automated result evaluation with Python, achieving a 30% reduction in benchmarking time therefore enhancing support for the Machine Learning team.* Provided expert guidance and mentorship to 4 junior Data team members, achieving a 20% improvement in both project turnaround times and data quality. -
Data Analytics EngineerCag Jul 2019 - Jan 2023Moscow, Russia (Remote)Built and maintained a cloud data platform for the third-largest national job board, enabling efficient data ingestion, real-time processing, and robust data integrity. Supported the development of a recommendation system.* Designed a Kimball-style data model and developed an ETL/ELT framework based on a medallion architecture for efficient data processing. Created automated data preprocessing and cleaning scripts, reducing inconsistencies and errors by 30%.* Reduced data discovery time by 50% through improved documentation and refined knowledge base.Worked on migrating B2B consumer electronics supply chain data from an on-premises warehouse to the cloud.* Developed a unified logical data model to map physical relationships across diverse data sources.* Enhanced data accuracy by 25% via the integration of quality assurance protocols.* Troubleshot and fixed ETL process failures caused by inconsistencies in historical data formats (XML/JSON).* Successfully migrated data from on-premises databases and designed data pipelines, enhancing data retrieval efficiency by 50%.
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Teaching Assistant For An Introductory Course In StatisticsEuropean University At St. Petersburg Nov 2021 - Jan 2022St Petersburg City, RussiaConducted assessments, graded Python coding assignments for 20 studentsProvided students with constructive feedback on their works -
Graduate Student ResearcherEuropean University At St. Petersburg Sep 2018 - Jun 2019St Petersburg, St Petersburg City, RussiaConducted anthropological field research (in-depth interviews, ethnographic observations)Wrote and presented reports on my work
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Junior ResearcherEuropean University At St. Petersburg Sep 2015 - May 2018St Petersburg City, RussiaDesigned and conducted research in the field of migration studiesCollected and analyzed field data (100 hours of in-depth interviews)Produced 2 publications in peer reviewed journalsPresented 10 papers at international conferences
Anna Timoshenko Education Details
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Applied Computer Science
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Russian, East European And Eurasian Studies -
Cultural Anthropology
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Cultural Anthropology
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Linguistics -
3.76 -
Liberal Arts And Sciences/Liberal Studies
Frequently Asked Questions about Anna Timoshenko
What company does Anna Timoshenko work for?
Anna Timoshenko works for Appodeal
What is Anna Timoshenko's role at the current company?
Anna Timoshenko's current role is Data Analyst | Analytics Engineer | Data Quality | Python | SQL | dbt | Azure | Fintech.
What is Anna Timoshenko's email address?
Anna Timoshenko's email address is 01****@****ail.com
What schools did Anna Timoshenko attend?
Anna Timoshenko attended European University At St. Petersburg, University Of Pennsylvania, European University At St. Petersburg, European University At St. Petersburg, Saint Petersburg State University, Bard College, Saint Petersburg State University.
Who are Anna Timoshenko's colleagues?
Anna Timoshenko's colleagues are Anna Krugliak, Denis Glavatskikh, Gleb Borovoy, Victoria Huz, Yuri Melsitov, Lidia Galkina, Roman Rinchinov.
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2everphone.de, gmail.com1 +491522XXXXXXX
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Anna Timoshenko
Stockholm
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