Results for "Python"

A senior public health specialist (epidemiologist) with 10+ years of experience in managing public health emergencies, strengthening health systems through advanced data analytics, strategic leadership, and evidence-based interventions. Proven success in managing large-scale health programs (maternal and child health, immunization, vaccine preventable diseases (VPDs), public health surveillance), Monitoring, Evaluation and Learning (MEL), and coordinating multi-sectoral emergency responses across governmental and international settings. Acknowledged for transforming complex data into actionable insights and for building capacity by training thousands of healthcare professionals.
Core Competencies:
1. Data Analytics & Informatics: 
Specialized in transforming fragmented, high-volume data into clear, actionable intelligence to inform strategic decision-making at the highest levels.
Advanced technical proficiency across the full data lifecycle, from collection and management to analysis and visualization or information sharing.
- Data Management & Collection: DHIS2, Odoo, REDCap, KoboToolbox/ODK, Epi-Info
- Data Visualization & Business Intelligence: Power BI, Odoo
- Geospatial Analysis: ArcGIS, QGIS
- Statistical Analysis: SPSS, Stata, Epi-Info
- Programming & Automation: R, Python (Google Colab and Anaconda)
2. Public Health & Epidemiology: 
- PHEM: Disease Surveillance, Emergency preparedness and response (EPR), Outbreak Investigation,
- Health Systems Strengthening, Capacity Building, Evidence-Based Policy, Public Health Research.
- Monitoring, Evaluation, Research and Learning (MERL)
3. Strategic Leadership: 
- Multi-sectoral team leadership, Public Health Emergency Response, Program Management, 
- Public Health Emergency Operations Center (PHEOC) and Incident Management System (IMS).
- Rapid Response Team (RRT) Management

My name is Agmuasie Belay, an Electrical and Computer Engineering professional with more than seven years of experience as educator, researcher, trainer and mentor. I specialize in machine learning for control systems, IoT applications, and embedded system design. My passion lies in creating impactful, hands-on learning experiences that inspire students and foster their growth in STEM fields.

With a strong research background, I have published work on neural network-based flux estimation and hybrid sliding mode torque control of induction motors. My work also extends to leveraging machine learning for agricultural applications to maximize crip yields and collaborating on plant disease detection systems using Python and TensorFlow.

Beyond technical expertise, I am deeply committed to education and training. I have designed aanddelivered life skills, digital skills, employability and job readiness training programs for university staff and students, with a focus on fostering soft skills that are crucia in the evolving job landscape. As a mentor and facilitator, I actively contribute to students' academic and professional development.

I am currently exploring opportunities to further apply my expertise in machine learning, IoT, and control systems, contributing to research and solutions that address global challenges, particularly in health, sustainable energy, agriculture and community development.