Sevda S. Profile

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$25 USD / 小时

turkey

$25 USD / 小时

目前这里是5:21 下午

六月 8, 2013已加入

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Sevda S.

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turkey

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Business Intelligance and Data Mining Manager

Experienced in data modelling, data model design and development, SQL, data analysis, business analysis, business consultancy, solution desgin and development, software development, technology consultancy, business development, sourcing Solutions-driven business and system analyst with experience leading cross-functional teams in the development, documentation and delivery of process innovations driving the attainment of business goals. Experienced in Global multinational environment with more than 15-years’ in various roles including Management, Data Modelling, Business Consultancy, Solution Design and Development, Coordination, Project Management, Team Management, Business Analysis, Data Analysis, System Analysis with Academic background in Mathematics, Computer Science and Business Administration. Seek opportunities to transform company practices into fresh, cost-effective solutions leading to more efficient operations.

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经验

Borusan Mannesmann

4月 2020 - 现在

• Turning company practices into more efficient, innovative, cost-effective solutions while reporting to Chief Digital Technologies Officer (CDTO). • Leadership & Management & Coordination & Empowerment & Digital Transformation. • Building data warehouse & self-services business intelligence system to serve as single version of the truth. • Building data science, artificial intelligence, machine learning prediction models, advanced analytics projects.

Borusan Caterpillar

12月 2017 - 11月 2018 (11 个月, 1 天)

• Project Management of SAP DWH & BI projects with internal & external resources. • Enabled 750.000 € discount from the distributor (Caterpillar) by providing IT requirements for the certification. • Helping customers harmonize master data and building data models (in HANA or other relational databases)

Turk Telekom

11月 2008 - 3月 2017 (8 年, 4 个月)

Acted as liaison of Group CFO on behalf of Steering Committee & CEO leading Cross-functional teams with at least 250 members in different levels & disciplines to meet group-wise KPI requirements while conducting KPI Committee meetings to manage & maintain 200 enterprise-level KPIs & ensuring data quality & data governance.