• Developed Machine Learning Models for Emotion Recognition:
Engineered models that significantly enhanced accuracy in facial emotion
detection, contributing to improved human-computer interaction systems.
• Applied Advanced ML Techniques for Gesture Detection:
Integrated machine learning algorithms to refine human gesture recognition,
advancing the robustness and responsiveness of interactive systems.
CISUC - Centre for Informatics and Systems of the University of

• Innovated a Heart Disease Detection System:
Implemented a novel approach to feature extraction from datasets, resulting in
a marked improvement in heart disease detection accuracy.
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• Analyzed Network Data Using Statistical Techniques:
Conducted statistical analysis on captured packets from Wireshark, focusing
on the Modbus protocol. Identified and predicted latency, packet loss, and
communication failures.
• Developed Fault Detection and Classification Models for Smart Grids:
Applied machine learning methods to detect and classify faults in Smart Grids,
enabling real-time decision-making to enhance grid resiliency.

• Conducted Statistical Analysis for Energy Forecasting:
Executed comprehensive statistical analyses, including checks for seasonality,
to support data-driven decision-making in energy management.
• Implemented ML Models for Electricity Consumption Prediction
Designed and deployed machine learning models that optimized energy usage
forecasts, leading to more efficient energy distribution strategies.
• Prototyped a Real-Time Energy Management System:
Developed a real-time system for data collection and decision-making in
energy consumption, deploying pre-trained models and automating commands
to optimize operations.

• Supported Data-Driven Decision Making:
Assisted in interpreting and organizing complex datasets, ensuring clarity and
providing actionable insights for strategic initiatives.
• Identified Key Performance Indicators (KPIs):
Defined and monitored critical KPIs essential for market success, driving
informed decisions across the organization.
• Compiled and Presented Performance Reports
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Generated detailed reports for executives, facilitating data-driven strategies
and enhancing overall decision-making processes

• Creating associated checklists.
• Conducting pre-delivery investigations (PDI) and quality control (QC) for
products.
• Drafting reports.

• Conducting research on topics assigned by executives.
• Authoring scientific papers.

• Engaging in library activities and conducting research.
• Generating reports sourced from industry data.
• Conducting laboratory research.
• Authoring scientific papers.