Simon Büschges
Technical lead of an R Shiny team
Experience
Jan 2022 - Dec 2023
2 yearsTechnical lead of an R Shiny team
Central Bank
- The task was to replace static reports with interactive applications.
- Coordinating the required infrastructure with the DevOps team and designing the data model of the applications, as well as programming various applications in R and data preparation routines in Python, were the main tasks.
- As technical lead, many organizational tasks were added, including quality and test management, coordinating tasks with the requirements engineer and Scrum Master, and selecting and onboarding new R developers during the project.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, supporting the web apps with R plumber, R-Shiny as an R package with golem, unit testing with testthat and shinytest2.
- Package documentation with roxygen2.
Jan 2021 - Dec 2022
2 years Lorem ipsum dolor sit amet
Banking
- Developed a haircut tool for fund investments in R Shiny.
- Modularized and migrated previous R Shiny projects into a unified dashboard framework.
- Drafted a developer style guide for Shiny applications.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, using the R package bs4Dash as the dashboard framework.
- Task planning with JIRA.
- Documentation in Confluence.
Jan 2021 - Dec 2022
2 years Lorem ipsum dolor sit amet
Pharma
- Modularized and migrated previous Shiny projects related to machine learning models of various biomedical processes into a unified dashboard framework.
- Focused on integrating interactive controls and graphics to standardize the UI/UX across the different applications.
- For this, created an R package that bundles the core branding elements into functions and objects.
- Set up a coding style guide and code templates for the client's developers.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, using the R package bs4Dash as the dashboard framework.
Jan 2021 - Dec 2021
1 year Lorem ipsum dolor sit amet
Consulting firm
- Developed an R Shiny web app to process GEO data from the OpenStreetMap database.
- Queries via the associated API interface.
- Displayed the data in various visualizations and provided download options for further use in business intelligence applications.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, using tidyverse, osmdata, sf, sp, leaflet, leaflet.extras, plotly, ggplot2.
Jan 2020 - Dec 2021
2 years Lorem ipsum dolor sit amet
Logistics
- Implemented a forecasting project in Python.
- Migrated all project steps, except parts of data engineering, completely to Python.
- Forecasts using ARIMA, ETS (both in statsmodels), h2o and FB Prophet.
- Results as notebooks with interactive widgets; developed a Plotly Dash web app.
- Implemented with Python, Plotly Dash, SQL.
- Task planning with JIRA.
Jan 2020 - Dec 2021
2 years Lorem ipsum dolor sit amet
Pharma
- Developed an R Shiny web app for modeling long-term COVID scenarios.
- Based on different assumptions about vaccination progress, political measures, and general pandemic assumptions, built a scenario model to simulate infection trends in Europe and the USA.
- Then developed a web app that serves as an input mask for calculating different scenarios.
- Main tasks were connecting various data sources into the modeling process and parallelizing it within the server architecture, as well as setting up the access rights system for different users of the app and logging the simulations.
- Set up CI pipeline and defined the Docker container.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, using the R package bs4Dash as the dashboard framework.
- Agile project management with Scrum, task planning with GitLab Issues, documentation in OneNote.
Jan 2020 - Dec 2021
2 years Lorem ipsum dolor sit amet
Technology corporation (energy sector)
- Developed a scoring model for e-charging station locations, addressing the specific challenges of energy providers in cities and regions.
- The model is based on over 40 factors influencing site quality and includes data on the current charging infrastructure (location, capacity), projected demand scenarios, and site evaluation based on traffic flow and location factors.
- In a map overview, existing and potential sites are shown graphically in relation to the influencing factors.
- Implemented with R, Shiny, SQL.
- Task planning with JIRA.
Jan 2020 - Dec 2021
2 years Lorem ipsum dolor sit amet
Public sector
- Provided technical support for automated daily reports of reported COVID case numbers.
Jan 2020 - Dec 2020
1 year Lorem ipsum dolor sit amet
Medical technology
- Revised the study protocol of an ongoing study in the field of orthopedic technology, communicated with the ethics committee and aligned the methodology.
Jan 2020 - Dec 2020
1 yearMethodological lead
Medical technology
- Multicenter study on microprocessor-controlled leg prostheses.
- Methodological lead for analyzing sensor data to determine a patient's stage of osteoarthritis.
- Analysis of repeated measurements of various movements.
- Exploratory analysis of patient profiles with clustering algorithms, and data analysis with sparse PCA and factor analysis.
- Developed a structure to integrate study design, missing values and multiple measurements per patient into a multinomial logistic regression using pseudo bootstrapping and sample balancing.
- Implemented in R with tidyverse, nnet, randomForest, caret, elasticnet, mnlogit, lme4.
Jan 2020 - Dec 2020
1 yearProject lead
Audit firm
- Developed a reporting tool for alternative investment funds.
- Project lead for creating a locally hosted R-Shiny web app to prepare regulatory reports on alternative investment funds for the federal financial supervisor.
- The client's customers submit quarterly information to the client, which must be sent as XML files.
- The web app processes the client data with regex and checks format, content, consistency and plausibility based on a rule catalog for different reporting use cases.
- Successfully validated data is converted to XML format for further processing.
- Defined unit tests for the modular checking components of the app.
- Implemented in R and R Shiny using stringr, checkmate, testthat.
- Integrated Excel and SAP Hana as data sources.
- Used shinydashboard as the dashboard framework.
Jan 2020 - Dec 2020
1 year Lorem ipsum dolor sit amet
Public sector
- Calculated budgeting for staffing a new degree program, considering expected funding and costs for filling positions.
- Queries with SQL from database systems, calculations and final report with R and R Markdown, ggplot2 and plotly.
Jan 2019 - Dec 2021
3 years Lorem ipsum dolor sit amet
Consulting firm
- Developed a modular R-Shiny web app (Dash-Up) for controlling.
- Merged the sales process with accounting and time tracking software.
- Integrated personnel contracts with a Postgres database.
- Monitored project and consultant utilization, project profitability and other quality management indicators.
- Integrated finance accounting data with SQL.
- Set up CI pipeline and defined the Docker container.
- Frontend development with HTML/CSS, JavaScript and R-Shiny, using the R package bs4Dash as the dashboard framework.
- Task planning with GitLab Issues, documentation in OneNote.
Jan 2019 - Dec 2021
3 yearsCo-author
Medicine
- Co-author of several meta-analyses in orthopedic technology.
- Implemented in SPSS and R with meta, metafor and netmeta.
Jan 2019 - Dec 2019
1 year Lorem ipsum dolor sit amet
Service provider
- Contributed to creating an automated forecasting tool for long- and medium-term sales forecasts of various beverage products in different European markets.
- Developed various hierarchical time series models.
- Integrated the results into an existing business intelligence architecture.
- Main task was validating the modeling with automated sensitivity checks and maintaining the interfaces within the architecture.
- Implemented in Power BI with interfaces to Excel and R.
- Documentation in Confluence.
Jan 2019 - Dec 2019
1 year Lorem ipsum dolor sit amet
Service provider
- Compared the performance of different Geo SDKs in relation to movement profiles of mobile app users.
- Queried data via Google Cloud Platform, BigQuery API, analyzed in Python, interactive visualizations with Plotly and Leaflet.
- Agile project management with Scrum, task planning with JIRA, documentation in Confluence.
Jan 2017 - Dec 2021
5 yearsTrainer for data science, Python and R
- Designed and delivered beginner and advanced training in data science, Python and R.
Jan 2017 - Dec 2021
5 yearsStatistical consultant
Research
- Supported statistical analyses for various doctoral theses in medicine, psychology, and sociology.
- Formulated questionnaires or hypotheses, designed experiments and sample size planning with power simulations.
- Selected the appropriate methodology.
Jan 2017 - Dec 2018
2 years Lorem ipsum dolor sit amet
Insurance
- Predicting claims for a portfolio of auto insurance contracts.
- Compared traditional statistical classification algorithms with modern machine learning methods.
- Extensive feature engineering, using over- and undersampling approaches and bootstrapping methods to offset class imbalance in the auto insurance portfolio and achieve high predictive accuracy.
- Implemented in R with tidyverse, MASS, randomForest, nnet, caret, glmnet, ROSE, MLmetrics, sparklyr.
Jan 2017 - Dec 2017
1 year Lorem ipsum dolor sit amet
Service provider
- Churn analysis for municipal utilities.
- Helped identify customers at short-term risk of switching as the target group for a campaign.
- Typified selected customers as a basis for marketing.
- Used various undirected advanced analytics methods (undirected data mining, neural networks) to identify switcher segments and/or define segments based on client specifications.
- Implemented in R with nnet, randomForest, h2o and e1071.
Jan 2017 - Dec 2017
1 year Lorem ipsum dolor sit amet
Service provider
- Visualized passenger volumes in public transport.
- Analyzed in R.
- Interactive visualizations with Plotly, Leaflet and Shiny.
Jan 2017 - Dec 2017
1 year Lorem ipsum dolor sit amet
Service provider
- Studied the effect of weather on new customer acquisition using generalized regression.
- Implemented in R with the MASS package.
Languages
German
NativeEnglish
AdvancedSpanish
Intermediate Education
Universidad de Salamanca
M. Sc. · Advanced Multivariate Data Analytics and Big Data · Salamanca, Spain
Need a freelancer? Find your match in seconds.
Try FRATCH GPT More actions
Similar Freelancers
Discover other experts with similar qualifications and experience
