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Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and

job is in eCommerce IT company. Limassol, CY , mob:, Telegram: @natalia_lankina , [email protected] Skills Project Management, Account Management, Agile (Lean, Kanban, Scrum frameworks), JIRA Confluence, Wiki Confluence, SQL, MS PowerBI, Salesforce, Pipedrive, Bitrix24, Trello, ISO 9001 Quality management, SQL, MS Office, Math Skills, Statistics and Probability, Direct Marketing Metrics, Data Analysis, Teamwork & Leadership, CAT Tools, Linguistic and formal Quality Assurance tools, Translation, Interpreting. Languages English - Advanced (both business writing and fluent speaking) Russian - Native Greek - Intermediate Experience June 2022 to current Direct Marketing Specialist Exness Global Ltd., Limassol, Cyprus Manage and

快速了解各種不同的需求，進而解決問題。擅長從大量數據中，找出有用的訊號。 技能 Data Science Data Mining, Data Cleaning, Data Analysis, Machine Learning, Data Visualization, Web Crawler, Data Pipeline, Statistics, Mathematics, Probability Theory Programming R - dplyr, stringr, ggplot2, DBI, caret, rvest SQL - MS SQL, Oracle, MySQL Python - pandas, numpy, matplotlib, sklearn Tableau 經歷 資深數據分析師 @ 雨林新零售股份有限公司Present 主要負責毛

System. Auto-alarm system. EDUCATION University of Taipei, BS, Computer Science, 2012 ~ 2017 Transferred from the Mathematics department to the Computer Science department. The graduation thesis focused on analyzing user preference for phrases on the message board PTT. Mathematics Number theory, Calculus, Linear algebra, Abstract algebra, Probability theory, and Statistics. Computer Science Database Systems, Introduction to Machine Learning, Introduction to Image Processing , Introduction to Data Mining , Discrete Mathematics, Java, Data Structures, Digital System Design, Operating Systems, Algorithms, Digital Circuit Laboratory, Computer Network, System Programming, Assembly Language, Computer Architecture, Formal Languages and Autom...