06/04/2024 updated
100 % available
Data Story Teller/ Wrangler/ Visualization Guru/ Frontend Wizard
Paralimni, Cyprus
Worldwide
B.EngUnity 3dHTMLJavaScriptAdobe PhotoshopAmazon Web ServicesAmazon S3Data AnalysisApache HTTP ServerAtlassian ConfluenceAtlassian JiraAugmented RealityBootstrap (Software)C Sharp (Programming Language)C++ (Programming Language)Cascading Style Sheets (CSS)
- Data Visualization, Data Story Telling, Data Science, Data Analytics
- TypeScript/JavaScript, Python, HTML/CSS, R, C#, C++
- d3.js, react, angular, nodeJs, nextJs, pandas, numpy, tensorflow, scikit, Flask, jQuery, Unity, OpenSceneGraph
- PowerBI, Tablaue, SAC
- REST / graphql
- AWS (DynamoDB, Amplify, CDK, Lambda, S3, AppSync)
- SQL (PostgreSQL, MSSQL, MySQL, SQLite), MongoDB
- Linux, Apache, nginx, Docker, Kubernetes
- Blockchain, Bootstrap, Augmented Reality, Virtual Reality, Computer Graphics, Machine Learning
- Git, Confluence, JIRA, CI/CD
- Photoshop, Maya
Experience
Professional experience10+ years
Freelancer since2009
Languages
GermanNative speakerEnglishFluent
Project history
- Route- / utilization-optimization to improve asset usage in a logistics company including automatic calculation
- of an initial plan and manual adjustments with recommendations via frontend in real-time.
- Cloud infrastructure management toolkit including functionalities ranging from placing, editing, moving
- or scaling objects to adding text, drawing lines and editing data attributes in real-time.
- Enhancing fleet managers capabilities of large European companies, allowing them to assess suitableness
- of contingents and charging behavior of EV-drivers through predictive analytics and dashboards.
- Sales force distribution optimization featuring scenario-building through frontend.
- Measurements-assessment via frontend / dashboards for employees in health sector.
- Augmented reality app which allows previewing rendered content during filming.
- Training (web-)app that allows planning, live assessment, automated creation of certificates as well as
- participant and content management for trainers and administrators on premise / remote.
- Supporting multi-cloud migration by enhancing transparency, legacy-target picture comparison.
- Collecting, sorting and visualizing Blockchain/NFT-project data with web crawling / scraping.
- Data visualization that enhances transparency for responsibilities in IT sector with physics-simulation.
- Data-driven decision support for politicians currently in office using citizen data collected via app.
Cloud based simulation framework that allows business experts to assess effectiveness of future measurements
and their effects on various KPIs in German mobility sector.
Pricing-engine for dynamical determination of prices for a global logistics service provider using the operational
complexity of consignments (e.g. costs, asset usage, 3rd-parties) across end-to-end process.
Optimization of maintenance and servicing processes involving various stakeholders in a European real
estate company using data analytics and process mining methods.
and their effects on various KPIs in German mobility sector.
Pricing-engine for dynamical determination of prices for a global logistics service provider using the operational
complexity of consignments (e.g. costs, asset usage, 3rd-parties) across end-to-end process.
Optimization of maintenance and servicing processes involving various stakeholders in a European real
estate company using data analytics and process mining methods.
Various predictive analytics projects using a self-developed framework which features classical statistical
and machine learning algorithms to choose the best forecast fully self-sufficiently. Use cases include the
forecasting of cost / volume / sales with integration in existing forecasting / planning processes.
Machine learning based solution for stock optimization of globally distributed crop protection products
using external data sources (e.g. FX-rates, weather, macro-economics, raw materials).
and machine learning algorithms to choose the best forecast fully self-sufficiently. Use cases include the
forecasting of cost / volume / sales with integration in existing forecasting / planning processes.
Machine learning based solution for stock optimization of globally distributed crop protection products
using external data sources (e.g. FX-rates, weather, macro-economics, raw materials).