Simon B.

Data Science Consultant

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Bangkok, Thailand

Experience

Jan 2022 - Dec 2023
2 years
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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
Jan 2021 - Dec 2022
2 years
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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
Jan 2021 - Dec 2022
2 years
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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
Jan 2021 - Dec 2021
1 year
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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
Jan 2020 - Dec 2021
2 years
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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
Jan 2020 - Dec 2021
2 years
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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
Jan 2020 - Dec 2021
2 years
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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
Jan 2020 - Dec 2021
2 years
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Public sector

  • Provided technical support for the automated daily reports of reported COVID case numbers
Jan 2020 - Dec 2020
1 year
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Medical technology

  • Revised the study protocol of an ongoing orthopedic technology study
  • Communicated with the ethics committee and coordinated the methodology
Jan 2020 - Dec 2020
1 year
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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
Jan 2020 - Dec 2020
1 year
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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
Jan 2020 - Dec 2020
1 year
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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
Jan 2019 - Dec 2021
3 years
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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
Jan 2019 - Dec 2021
3 years
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Medical

  • Co-authored several meta-analyses in orthopedic technology
  • Implemented them in SPSS and R using the meta, metafor, and netmeta packages
Jan 2019 - Dec 2019
1 year
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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
Jan 2019 - Dec 2019
1 year
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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
Jan 2017 - Dec 2021
5 years
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Data Science Training

  • Designing and leading beginner and advanced training sessions in Data Science, Python, and R
Jan 2017 - Dec 2021
5 years
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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
Jan 2017 - Dec 2018
2 years
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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
Jan 2017 - Dec 2017
1 year
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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
Jan 2017 - Dec 2017
1 year
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Service provider

  • Visualizing passenger volume in public transport
  • Analysis and interactive visualizations in R using Plotly, Leaflet, and Shiny
Jan 2017 - Dec 2017
1 year
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Service provider

  • Investigated the effect of weather on new customer acquisition using generalized regressions
  • Implemented in R using the MASS package

Skills

  • R
  • Python
  • Html
  • Css
  • Javascript
  • Sql
  • C++
  • Git
  • Powerbi
  • Tableau
  • Spss

Languages

German
Native
English
Advanced
Spanish
Intermediate

Education

University of Salamanca

Master of Science · Advanced Multivariate Data Analytics and Big Data · Salamanca, Spain

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