Simon B.-Data Science Consultant
Check rate
Experience
Central Bank
- Technical leadership of an R Shiny team, replacing statically generated reports with interactive applications
- Coordinating infrastructure with the DevOps team and designing the data model of the applications
- Programming various applications in R and data preprocessing routines in Python
- Quality and test management, coordinating with requirements engineer and Scrum Master, selecting and onboarding new R developers
- Frontend development with HTML/CSS, JavaScript and R Shiny
- Supporting web applications via R plumber
- R Shiny as an R package with golem, unit testing using testthat and shinytest2
- Package documentation using roxygen2
Banking
- Development of a haircut tool for fund investments in R Shiny
- Modularizing and migrating existing R Shiny projects into a unified dashboard framework
- Drafting a developer style guide for Shiny applications
- Frontend development with HTML/CSS, JavaScript and R Shiny
- Using the R package bs4Dash as a dashboard framework
- Task planning with JIRA, documentation in Confluence
Pharma
- Modularizing and migrating previous Shiny projects related to machine learning models of biomedical processes into a unified dashboard framework
- Integrating interactive controls and graphics to standardize UI/UX
- Creating an R package for branding functions and objects
- Establishing a coding style guide and code templates for developers
- Frontend development with HTML/CSS, JavaScript and R Shiny
- Using the R package bs4Dash as a dashboard framework
Consulting firm
- Development of an R Shiny web application to process geo data from the OpenStreetMap database
- Queries via API interface
- Displaying data in various visualizations
- Providing download options for further use in business intelligence applications
- Frontend development with HTML/CSS, JavaScript and R Shiny
- Using the R packages tidyverse, osmdata, sf, sp, leaflet, leaflet.extras, plotly, ggplot2
Logistics
- Implementation of a forecasting project in Python, complete project steps (except data engineering) in Python
- Forecasts with ARIMA, ETS (statsmodels), h2o and FB Prophet
- Results as notebooks with interactive widgets
- Development of a Plotly Dash web application
- Built with Python, Plotly Dash, SQL
- Task planning with JIRA
Pharmaceutical company
- Developed an R Shiny web application to model long-term COVID scenarios
- Built a scenario model to simulate infection trends in Europe and the USA
- Integrated various data sources and implemented parallel processing within the server architecture
- Set up the permission system for different users and logged the simulations
- Established a CI pipeline and defined the Docker container
- Frontend development with HTML/CSS, JavaScript, and R Shiny
- Used the R package bs4Dash as a dashboard framework
- Agile project management with Scrum, task planning using GitLab issues, documentation in OneNote
Technology conglomerate (energy sector)
- Developed a scoring model for e-charging station locations based on over 40 factors
- Considered existing infrastructure (location, capacity), expected demand development, and evaluation based on traffic flow and location factors
- Created a map overview of existing and potential sites
- Implemented using R, Shiny, SQL
- Task planning with JIRA
Public sector
- Provided technical support for the automated daily reports of reported COVID case numbers
Medical technology
- Revised the study protocol of an ongoing orthopedic technology study
- Communicated with the ethics committee and coordinated the methodology
Medical technology
- Methodological lead of a multicenter study on microprocessor-controlled leg prostheses
- Analyzed sensor data to determine the stage of osteoarthritis
- Evaluated repeated movement measurements and conducted exploratory patient profile cluster analyses
- Developed a framework for study design, missing data, and multiple measurements using multinomial logistic regression with pseudo-bootstrapping and sample balancing
- Implemented in R with tidyverse, nnet, randomForest, caret, elasticnet, mnlogit, lme4
Audit Firm
- Led and developed a reporting tool for alternative investment funds in R Shiny
- Built a locally hosted web app for BaFin report data generation
- Prepared and validated client data using regex and a rule catalog
- Wrote unit tests for modular validation components
- Integrated Excel and SAP HANA as data sources
- Used shinydashboard, stringr, checkmate, testthat
Public Sector
- Calculated the staffing budget for a new degree program, considering expected funding and personnel costs
- Ran queries with SQL and created the final report with R/Markdown, ggplot2, and plotly
Consulting Firm
- Developed a modular R Shiny web application (Dash-Up) for controlling
- Integrated the offer process with accounting and time-tracking software
- Combined HR contracts with a Postgres database system
- Monitored project and consultant workload, profitability, and quality management indicators
- Integrated financial accounting data using SQL
- Set up a CI pipeline and defined the Docker container
- Developed the frontend with HTML/CSS, JavaScript, and R Shiny using bs4Dash
- Planned tasks with GitLab issues and documented in OneNote
Medical
- Co-authored several meta-analyses in orthopedic technology
- Implemented them in SPSS and R using the meta, metafor, and netmeta packages
Service Provider
- Collaborated on building an automated forecasting tool for sales predictions of various beverage products in European markets
- Developed hierarchical time series models
- Integrated results into the existing business intelligence architecture
- Performed sanity checks and maintained interfaces
- Implemented in Power BI with Excel and R connectors, documented in Confluence
Service Provider
- Comparison of performance metrics of different GeoSDKs for movement profiles of mobile app users
- Data analysis using Google Cloud Platform and BigQuery API in Python
- Interactive visualizations with Plotly and Leaflet
- Agile project management with Scrum, task planning in JIRA, documentation in Confluence
Data Science Training
- Designing and leading beginner and advanced training sessions in Data Science, Python, and R
Research
- Supervising statistical analyses for various doctoral theses in medicine, psychology, and sociology
- Designing questionnaires and hypotheses
- Planning experiments and sample sizes with power simulations
- Selecting appropriate methods
Insurance
- Claim prediction for auto insurance policies, comparing classical statistics and modern machine learning methods
- Extensive feature engineering, over- and undersampling, bootstrapping to address class imbalance
- Implemented in R with tidyverse, MASS, randomForest, nnet, caret, glmnet, ROSE, MLmetrics, sparklyr
Service Provider
- Customer churn analysis for municipal utilities to identify customers at short-term risk of leaving
- Creating customer typologies for marketing purposes
- Using unsupervised advanced analytics methods and neural networks
- Implemented in R with nnet, randomForest, h2o, e1071
Service provider
- Visualizing passenger volume in public transport
- Analysis and interactive visualizations in R using Plotly, Leaflet, and Shiny
Service provider
- Investigated the effect of weather on new customer acquisition using generalized regressions
- Implemented in R using the MASS package
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Healthcare, Education, Professional Services, Banking and Finance, Pharmaceutical, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Research and Development, Project Management, Finance, and Quality Assurance.
Skills
- R
- Python
- Html
- Css
- Javascript
- Sql
- C++
- Git
- Powerbi
- Tableau
- Spss
Languages
Education
University of Salamanca
Master of Science · Advanced Multivariate Data Analytics and Big Data · Salamanca, Spain
Statistics
Experience
Expertise
Qualifications
Frequently asked questions
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Simon is based in Bangkok, Thailand.
Simon speaks the following languages: German (Native), English (Advanced), Spanish (Intermediate).
Simon has at least 7 years of experience. During this time, Simon has worked and for 18 different companies. The average length of individual experience is 4 months. Note that Simon may not have shared all experience and actually has more experience.
In recent years, Simon has worked for Central Bank, Banking, Pharma, Consulting firm, and Logistics.
Simon is most experienced in industries like Healthcare, Education, and Professional Services. Simon also has some experience in Banking and Finance, Pharmaceutical, and Government and Administration.
Simon is most experienced in business areas like Business Intelligence, Information Technology, and Research and Development. Simon also has some experience in Project Management, Finance, and Quality Assurance.
Simon has recently worked in industries like Healthcare, Education, and Banking and Finance.
Simon has recently worked in business areas like Business Intelligence, Information Technology, and Research and Development.
Simon holds a Master in Advanced Multivariate Data Analytics and Big Data from University of Salamanca.
The availability of Simon needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 23 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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