Appsilon | R Shiny | Machine Learning

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Appsilon Data Science is a data science company founded in 2013 and located in Warsaw, Poland. The team of fewer than 50 employees serves mostly enterprises in the IT, business services, health care and medical, and retail industries. Their services include custom software development, BI, big data and consulting, SI, and AI

Client Insights

Industry Expertise

Medical

80%

Supply Chain, Logistics, and Transport

10%

Business services

5%

Energy & natural resources

5%

Client Size Distribution

Midmarket ($10M - $1B) 10%

Enterprise (>$1B) 90%

Common Project Size

$50K-$199K 9 projects

$10K-$49K 8 projects

<$10K 6 projects

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
33 Reviews

The first project was a UI/UX design for a pharmaceutical company. The goal was to create a user-friendly digital ecosystem across 5 markets in APAC. Appsilon | R Shiny | Machine Learning delivered the UX/UI prototype design in Figma, resulting in an on-time delivery of the prototype design. The client was impressed with the quick and positive responses to their needs, and there were no areas for improvement identified.

The second project was a software development project for a chemicals & biotechnology company. The company was looking to create four enterprise dashboards to visualize research data. The project was completed successfully, with good and flexible communication, well-documented code, and a good working relationship. The client was impressed with Appsilon | R Shiny | Machine Learning's commitment to finding solutions to fit their needs.

The third project involved UI/UX design and custom software development for a medical center. The goal was to develop an R Shiny application to combine clinical outcomes with place-based data and enable users to build custom, dynamic logistic regression models. Appsilon | R Shiny | Machine Learning was able to deliver all of the project goals on time and demonstrated unique expertise with R Shiny. The client was impressed with the team's understanding of their goals and the ability to make strategic and novel improvements to the project. No areas for improvement were identified.

Timeliness

4.9

Service Excellence

5.0

Value

5.0

Would Recommend

5.0

Awards

65509

2023

65517

2023

37442

2022

36668

2022

37241

2022