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

Appsilon | R Shiny | Machine Learning was hired by a pharmaceutical business to improve their UX/UI design for their digital ecosystem. The client, the APAC Digital & Data Technology Deployment Lead of the healthcare company, discovered Appsilon through a referral. The team from Appsilon, consisting of 2-5 employees, explored the user story across 5 markets in APAC and designed the user journey, site map, and usability study. The main deliverable was a UX/UI prototype design in Figma.

In another project, Appsilon was hired by a Chemicals & Biotechnology company to create dashboards. The client, a Data Engineer of the company, found Appsilon through an online search and referral. The team from Appsilon, consisting of 6-10 employees, built four enterprise dashboards to visualize the company’s research data.

Lastly, Appsilon was hired by Boston Medical Center to develop a beautiful R Shiny application that combines clinical outcomes with place-based data, and enables users to build custom, dynamic logistic regression models. The client, a Senior Data Analyst of Boston Medical Center, found Appsilon through an online search. A team of 2-5 employees from Appsilon worked on the project, delivering a versatile application that could run data stored in different types of databases, display geographic data about neighborhoods in Boston, and allow users to add additional outcomes and variables to display and analyze.

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