Yamini Jayabalan

Teacher and Software Trainer specializing in PLC Programming and SCADA Systems, with experience across Electrical Design and PCB Design in Electrical & Electronics Engineering. Hands-on with industrial tools including Siemens S7, Allen Bradley, WinCC, and software such as Python and AutoCAD Electrical. Experienced in curriculum design, technical training for PLC/SCADA/embedded systems, and developing interactive simulations and project-based learning.

Strong instructional design and communication skills focused on STEM education and technology-enabled learning.

Teacher - Sharada Vidyaniketan Public School - Bangalore, India

(2025-09)

• Teach Artificial Intelligence and Computer Science to students in Grades 6-8, delivering curriculum-aligned instruction.
• Design lesson plans, assessments, and project-based learning modules to scaffold skills and measure progress.
• Deliver hands-on learning using Python, Canva, and AI tools to reinforce concepts.
• Guide students to develop AI-based and digital projects, coaching technical and presentation skills.
• Promote responsible, ethical use of Artificial Intelligence through classroom norms and guided discussions.
• Integrate practical technology applications into instruction to increase student engagement and real-world relevance.

Software Trainer - PLC, SCADA & Embedded Systems - NPS Vidyaranyapura - Bangalore, India

(2017-12 - 2019-01)

• Designed and delivered instructor-led courses on PLC, SCADA, Embedded Systems, and electrical engineering for students and professionals.
• Developed customized curriculum and lesson plans with hands-on laboratory exercises to reinforce theory.
• Guided learners through practical automation projects and industrial case studies to improve skill application.
• Conducted ETAP simulations for load flow and fault analysis to demonstrate power system behavior.
• Mentored students and professionals through project execution and troubleshooting to ensure completion.
• Collaborated with technical teams to iterate training content and incorporate real-world industrial control systems scenarios.

AI data analyst Intern - ImAmigos foundation - India

(2026-06 - 2026-07)

• By analyzing and cleaning datasets using Excel, SQL, and Python, I enhanced data quality and reporting accuracy, leading to a 25% reduction in errors in subsequent reports.
• Developed interactive dashboards in Power BI that provided real-time insights, resulting in a 30% increase in data-driven decision-making among stakeholders.
• Implemented automation for data cleaning and reporting, resulting in a 50% decrease in processing time and enabling faster insights for decision-making.

B.E. - Electrical and Electronics Engineering - M.A.M. College of Engineering (2015)