Şafak Çöze

-Collected, cleansed, and organized data using SQL, Excel, and Google Sheets. Employed SQL to refine existing databases, extracting valuable insights to inform strategic decision-making. -Undertook EDA and data visualization using a range of tools, including SQL, Python (NumPy, Pandas, GeoPandas, Plotly, Matplotlib), and Tableau. -Generated maps through adept management of field data collection, skilled digitization processes, and proficient geographical spatial data analysis in ArcGIS and QGIS.

-Undertook on the responsibility of gathering, managing, and analyzing geo-spatial datasets, which involved demographic statistics, census data, infrastructure details, disaster recovery information,urban planning parameters, and building data, utilizing SQL and GIS Applications. -Aimed to increase resilience of outdated and unstable structures against natural disasters such as earthquakes and floods.

-Played a role in urban projects throughout the entire process, from data acquisition and wrangling to analysis and visualization, employing SQL, and Python. -Utilized specifically Pandas, GeoPandas, Folium, NumPy, and Arcpy, and GIS Applications such as ArcGIS Pro and QGIS. -Collected both spatial and non-spatial data, encompassing spatial, social, economic, and environmental aspects, and presented findings to the team using Tableau.

-Worked on Smart City Project with many stakeholders including Istanbul Metropolitan Municipality and Metro Ltd. -Managed multidisciplinary GIS mapping, data analysis, development, and visualized for the smart city project. -Produced Smart objects in the GIS platform, and designed 3D models by using SketchUp and ArcScene.

Relevant Courses | Programming in JavaScript, HTML and CSS, Database and Data Management (PostgreSQL and PostGIS), Artificial Intelligence and Machine Learning with Orange Data Mining and Scikit-Learn, Data Science with Python, Earth Observation and Remote Sensing, Geographic Data Exploration and Visualization with D3.js and Tableau, Spatial Data Services, Standards, and Infrastructure

EU funded joint university master’s program between UJI (Spain), and WWU (Germany). Relevant Courses | Spatial Data Science with R, Machine Learning for Visual Spatial-Temporal Data, Advanced GIS Methods in Digital Cartography, Project Management, Core Topics in Geographic Information Science, SAR Technology and Spaceborne SAR Data Analysis

Relevant Courses | The Use of Geographic Information Systems in Planning, Statistics, Advanced Mathematics, Environment and Ecology, Urban Planning Studios, Academic Writing