Dimitrios Lampriadis Junior Data Analyst | Urban Technologist
+31(0)626560148 dimitrios-lampriadis DLampriadis
dimitrislampriadis@gmail.com dlampriadis.github.io
2523CP, The Hague, Netherlands
I am an entry-level data-geodata analyst and urban technologist interested in data analytics, data visualizations, and the translation of raw data into handy and easy-to-read insights. The means I use to convey my findings and ideas are; the development of maps, dashboards, graphs, reports, applications, infographics, and diagrams.
SKILLS Data Analysis Programming Languages: Python SQL M.Excel - Google Sheets HTML/CSS - JavaScript Google Earth Engine Software skills / 2D-3D CAD: Rhino AutoCad - 3DS Max Sketchup Vray Vectorworks
Data Visualization: PowerBI Tableau Matplotlib - Seaborn Plotly Grasshopper
Geospatial Data Analysis: ArcGis Pro / QGIS Mapbox Carto Kepler.gl DepthMapX / Circuitscape
Technical skills: Data Analysis Data Mining Spatial Data Science Data/Geodata Engineering Git control systems - GitHub
Production / Visualization: Photoshop Illustrator InDesign After Effects
Experience with: POSTGRES XML - C## Google Colab - Jupyter Ntb openCV eCognition
Soft skills: Good communication skills, reliability, consistency, collaboration in team spirit, adaptability, initiative business analytical and problem-solving skills
L ANGUAGES English German Dutch Greek
professional, fluent (ECCE, IELTS) beginner (B1) beginner native, mother tongue
ED UCATION Sep. 2021 - Jul. 2022
Master in City & Technology, IAAC - Universitat Politècnica de Catalunya · BarcelonaTech | Spain
MA Data - Geospatial Data Analyst | Urban Technologist - Planner | Grade: 8.6 Awarded an Industry Scholarship - 50% • Workflow of data collection, data cleansing, Exploratory & Descriptive Analysis, data analysis, and data visualization to
create data-driven strategies and policies in the regional and urban domain. The program offers expertise in the design of digitally enhanced, ecological and human-centered urban environments by intersecting the disciplines of urbanism and data science. • Courses included: Data Mining, Data Management, Social Network Analytics & Social Media Analytics, Geospatial Data Engineering, Data Analysis & Visualization, Prediction Models, Suitability Model-Building, Pattern Detection & Clustering, Remote Sensing, Machine Learning, Big Data Handling & Analysis, Dashboard Building, Cartography, Urban Economics, Urban Analytics, Spatial & Urban Planning, Circular Urban Design, Policy Analysis, Sustainable Urban & Regional Strategies.
Sep. 2011 - Mar. 2018
Architectural Engineer Department, University of Patras | Greece
MSc Architect Engineer Degree (5-year Eng. Diploma / Degree) | Grade: 7.5 • Constructing narratives and storytelling to convey concepts and ideas. Mastering research methods, and visualizing their findings in the best way. Learning how space and its aspects and social behavioral correlate with the collected data. Finding the most suitable solution to each problem. Learning in the intersection of mathematics, statistics, physics, art, and society. • Courses included: Architectural Design & Engineering, Territorial & Regional Analysis & Planning, Urban Planning, GIS, Data Analysis, Statistics, Mathematics, MatLab, Structural Engineering, Data Visualizations, Digital skills in Designing Softwares, Constructions, Art & Visual Communication.
PROFESSIONAL EXPERIENCE Mar. 2022 - current
Researcher / Data Analyst | ‘‘ProjectSafeRefuge’’, - www.saferefuge.pl
Remote, The Hague/NL • Tasks/Responsibilities: My primary duties were data collection - analysis - visualization. Writing reports on the analysis findings. Initiative’s webpage developer. Data mining, data management, social network analytics, geospatial data analysis, remote sensing. • Achievements & Skills Obtained: Through this experience, I developed my time management skills; I became more competent problem-solving while being effective and efficient. I could communicate accordingly with a variety of people outside of my knowledge field, which developed my team spirit and expanded my horizons.
Nov. 2020 - May 2021
Associate Architect | ‘‘M&DB Architecten’’, - www.m-db.nl
Binckhorstlaan 36, Den Haag/NL • Tasks/Responsibilities: GeoData analysis, GIS expert, architectural concept & design. Constructing narratives and stories in order to convey the design intentions of projects. Urban analytics, territorial analysis, spatial & urban planning, circular urban design, policy analysis, and sustainable urban & regional strategies. • Achievements & Skills Obtained: I had to stay focused, set priorities, and handle stress effectively. My organization skills were quite developed; I became goal driven and dedicated in my duties. Last but not least, the ability to learn fast and multitask was more than necessary.
Jan. 2020 - Jul. 2020
Trainee Architect | ‘‘Koschuch Architecten’’, - www.koschuch.com
Grasweg 52B, Amsterdam/NL • Tasks/Responsibilities: Focused primarily on urban analysis/planning/design, and on the architectural design of housing projects and their visual storytelling. Furthermore, I had to communicate effectively with the different stakeholders of a number of projects where the office was collaborating. • Achievements & Skills Obtained: In this position, I was responsible for setting priorities and scheduling the workflow while making sure this schedule was delivered in detail. Also, I was responsible for the analysis and the final delivery of different projects.
ONLINE COURSES & ASSESMENTS Dec. 2022 - Jul. 2023
Data Visualization & Storrytelling, Growth Tribe, STAP Budget - 6 months | to be obtained
Nov. 2022 - current
Data Scientist track, DataCamp - 96 hours | See credential to be concluded
Oct.2022-Nov.2022
Spatial Data Science: The New Frontier in Analytics, ESRI - 6 weeks | See credential
»» Basic Types of Graphs, Exploratory vs Explanatory Analysis, Decluttering and Highlighting, Data Visualisation - the Basics, the Method, the Storyline Framework, Developing a Story Structure, Understanding our Audience, Developing Analogies, Developing Characters. »» Introduction to Python, Intermediate Python, Data Manipulation & joining data with Pandas, Intro to Statistics in Python, DataViz with Matplotlib & Seaborn, NumPy, Intermediate DataViz with Seaborn, EDA in Python, Regression with Statsmodels, Supervised Learning with scikit-learn, Unsupervised Learning, Machine Learning with Tree-based Models.
»» Introduction to Spatial Data Science, The Spatial Approach to Predictive Analysis, Finding Optimal Locations Using Suitability Models, Pattern Detection and Clustering, Object Detection with Deep Learning, Remote Sensing, Communicating Results with Impact.
MEMBERSHIPS Jun. 2018 - current
Registered as Architect Engineer and member of the Technical Chamber of Greece. Credential number: 69729/2018 - register number: 143784 | see credential
PARTICIPATIONS Apr. 2022
Workshop - Circular Urban Design in St. Marti district | IAAC, Fosters & Partners - BCN/Spain
Feb. 2022
Workshop - Joint Exhibition | IAAC, TheWhyFactory-TUDelft, Naturalis Biodiversity Centre - BCN/Spain • Re-thinking and re-imagining new ways of Big Data usage in creating environmental awareness. The workshop result-
• Learning about circular urban design as design and sustainable principle. Learning how to integrate and present Big Data in the design and policy making procedure of municipalities. • Tasks/Responsibilities: Data mining, geo-data analysis, visualizing data and using them to convey the concept, integrating data findings in the redesign process of St. Marti district.
ed in a joint exhibition of MaCT2021, TheWhyFactory, Naturalis Biodiversity Centre of Leiden and Iris van Herpen work. Interactive Dashboard presenting the results of the workshop. • Tasks/Responsibilities: Data mining, geo-data analysis, visualizing data and using them to convey the concept, integrating data findings in an interdisciplinary team.
Jan. 2022
Workshop - Platform Urbanism: Revitalizing Ciudadela Park | IAAC, Strelka Institute - BCN/Spain. • Learning how to convey ideas and concepts in the most optimal way. Learning how to work in the tactical intersection of Space, Softwares and Policies.
• Tasks/Responsibilities: Collecting data, correlating concept with data findings, presenting data in a convincing way. constructing a story to communicate the results of the workshop, coordinating the team tasks.
HOBBIES • Playing Soccer in a team, Bouldering, Surfing, Skiing, Reading