Projects
IoT Project: DatalogBridge
I developed
DatalogBridge,
an IoT device that communicates with solar inverters at solar parks using the
Modbus
protocol over
RS485,
as a reliable and cost-effective solution to fit the company’s needs. It gathers real-time data and sends it to desired destinations. Built with
Python
and
pymodbus,
it includes a
web-based configuration panel
(HTML, CSS, JavaScript) powered by a
Flask backend,
making it easy for field technicians to configure.
To minimize costs and avoid unnecessary on-site visits, I implemented a secure
VPN network,
allowing for remote management and automatic updates using
Ansible
across all deployed devices.
May 2024 – Sept 2024
Master Thesis: Innovating Financial Settlement Processes through Advanced Simulation and Process Analytics
In collaboration with
Euroclear Bank,
we developed a
digital twin
of their security settlement process to explore process improvements in financial operations. Traditional simulation methods focus primarily on outcomes, often neglecting process dynamics. Our research addressed this by creating a
process-driven simulator
for Financial Market Infrastructure processes, complemented by
extensive process mining
to gain deeper insights into the settlement process.
The simulator comprised a
data generator, settlement simulator, and data model
to simulate Euroclear’s security settlement process. The simulation modeled various scenarios, such as the
shortening of the settlement cycle,
and analyzed the impact of different settings on settlement efficiency. Key findings demonstrated that improving settlement efficiency requires alignment among all participants in the value chain and targeted support for underperforming participants.
Our research showed that developing a process-oriented digital twin
of the financial market infrastructure is both
feasible and highly valuable
in driving operational improvements in this context.
May 2023 – June 2024