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Title Business and Data Analyst
Target Location US-NY-New York City
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Candidate's Name
New York, NY	LINKEDIN LINK AVAILABLEPHONE NUMBER AVAILABLE	EMAIL AVAILABLE
Data and Analytics Specialist
Strategy | Analysis | ScienceDriven, analytical, and savvy data analyst and scientist pursuing a Master of Sciences (MS) in Computer Science specializing in Big Data & Data Science. Well-versed in strategy, governance, modeling, and visualization utilizing advanced data analytics platforms and cloud technologies. Familiar with open-source DevOps Framework, SAFe Agile Framework, and Design Thinking Methodology. Knowledge in Machine Learning (ML) and Artificial Intelligence (AI).Core CompetenciesData Strategy and Modelling	     Matplotlib and Seaborn	Python, SQL, Oracle SQLData Governance & Analytics	     Jupyter Notebooks, Scikit-Learn	Git, GitHub, TableauData Visualization & PMO	     NumPy, Pandas, Keras	VS Code, TensorFlow
Education / CredentialsMonroe College, King Graduate School, Bronx, NY, USMaster of Science (MS) in Computer Science, 2024 (Expected)Istanbul University, Istanbul, TurkeyBachelor of Arts (BS), SociologyProfessional ExperienceArya Solar Energy, Ankara, TURKEY 	2019   2022Business & Data Analyst          Supported designing data governance, and cleansing data standardization.
          Performed database development and data visualization.          Assisted SQL queries and processes to generate customized ERP reports to support users in the decision-making process.
          Helped analyze and solve data and reporting related incidents and issues to improve organizational efficiency.
Exchange Student, Aupair-Care Intrax Inc. New York, NY  	2018   2019Szutest, Istanbul, TURKEY 	2016   2018Planning Analyst          Managed project budgets using a project management reporting dashboard ensuring compliance with budgetary constraints.          Engaged key stakeholders, and developed documentation for the project, that includes presentations, progress reports, and charters.          Established and maintained relationships with customers to achieve optimal levels of satisfaction with provided services and products.          Established expectations and deadlines for projects while providing internal teams with definitive guidance.          Coordinated meetings in which participants identified suitable methods for task management, brainstormed ideas, and established project milestones.Key Courses and TrainingMachine Learning, Coursera, 2023Data Science, IBMCustomer Relationship Management, CRM, Dale Carnegie Training

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