I drive skills development in a rapidly evolving business landscape, empowering learners through continuous experiential learning. With a strong background in tech education, I help customers and partners build critical competencies that drive business impact and long-term success. Drawing on deep experience in problem-solving, sales and team management, I contribute to learning interventions that deliver real-world, measurable outcomes — both in business performance and skill enhancement.
Generative AI (GenAI) has moved past its experimental phase. It is now deeply embedded in core business workflows, from sophisticated financial modeling and predictive analytics to dynamic content creation and strategic decision-making. This means the very definition of a “job-ready” professional has dramatically changed. Global surveys reveal the same trend:
Think of data engineering as plumbing for the digital world. All those smart dashboards, AI models and analytics reports don’t work unless someone builds the pipelines that bring clean, usable data to them. That someone is a data engineer. Why data engineers are suddenly in the spotlight AI is everywhere today
Machine learning engineers are among the most sought-after professionals in the data analytics and AI space today. But behind the buzzwords and job titles lies a role that requires data literacy and a range of skills in statistics, software deployment, critical thinking and ethical judgement. If you're wondering what this
If you have a background in pharmacy, life sciences, biotechnology, or statistics – and you’re curious about the world of clinical research – there’s one career path you might want to explore: clinical SAS programming. Maybe you’ve heard the term before and wondered what it really involves. The good news?
