SELECTED WORK
Turning process data into decisions: MPC projects and dashboards.
A closer look at applied work in advanced process control and business intelligence: from predictive control strategies to production-grade Power BI dashboards used for operational decision-making.
MPC · Advanced process control · python
Model Predictive Control for a constrained process unit
Development of a Model Predictive Control (MPC) strategy to regulate a multivariable process unit under operating constraints, replacing single-loop PID control with a predictive approach that anticipates disturbances and coordinates manipulated variables in real time.
Work covers process identification, state-space / transfer-function modelling, controller tuning, and closed-loop simulation to compare MPC performance against conventional control in terms of settling time, overshoot and constraint handling.
POWERBI· DAX · DATA MODELING
Business Intelligence Dashboards
A collection of interactive business intelligence dashboards developed to transform industrial and operational data into actionable insights. Covering process engineering, manufacturing, energy, and public datasets, each dashboard combines intuitive visualizations, advanced filtering, and executive-level KPIs to support faster, data-driven decision-making.
From production monitoring and process performance to operational analytics, geospatial visualization, and trend analysis, these projects demonstrate practical applications of Power BI for engineering, operations, and business intelligence, allowing users to explore data from high-level overviews down to individual assets, processes, and events.