Josef Toman

A team of skilled analysts with basic programming skills wanted to streamline and automate the composition of many reports (multiple variations, multiple languages) from data collected over time. The main objective was to design a system allowing the team to do as much work as possible by themselves.

I designed and implemented a framework that provides core features and allows the team to write auto-discoverable "plug-ins" (chapters, slides, QA checks). Since then, I have been providing support when necessary.

Core Features:
• CLI scripts
• Extensive YAML configuration
• ETL
• Output to DOCX, HTML, and XLSX files
• Methods for simple creation of charts and tables carefully tailored to fit the data and required use-cases

Key Characteristics:
• Stringent security and privacy measures concerning the data
• Attention to detail—every single data field must be loaded and interpreted correctly or fixed upon discovery of an error
• Very opinionated design requirements

The customer and the nature of the data are not disclosable.

A Vue application for daily pre-computed production plan reviews, allowing ad-hoc manual changes.

Distinctive Features:
• 100% operable with mouse only (project requirement)
• Complex drag-and-drop actions
• A configurable mocked API to enable a full-featured experience before the actual API is implemented (random data are generated on-the-fly)

Other Contributions Besides App Development:
• Thorough initial analysis
• UX contributions
• Design based on the company's visual identity standards and consultation with a pro designer
• API design and detailed specifications

As a consultant, I developed the initial stages of an event-driven simulation to model drug prices in the European Union (EU). The EU drug market is a heavily regulated and complex system, with each country having its own rules on drug price regulations, often using prices from a set of other countries as a reference. The goal of this simulation was to model future drug prices, given a starting point, and allow users to create events in the future to see their influence on the entire system of drug prices in the EU.

The simulation was developed using Python and leveraged the Google Sheets API to input and output data. This allowed for seamless integration with existing spreadsheets and easy collaboration with stakeholders.

My client successfully used the prototype to fulfill the needs of consulting tasks for initial clients, on time and to satisfaction. Later, the prototype was used as a basis for further in-house development.

In a full-stack role, I developed two applications and designed a database for them.

Project Deliverables:
1. A public presentation of the company and its branches and a reservation system for customers
2. An application for the technical staff designed for touch screens (tablets) providing:
• Calendar with reservations
• A step-by-step guide navigating the staff through each service case, including SMS notifications and invoicing