Winning Competitive Scholarships: Success is driven by strategic preparation, consistent personal growth, and long-term persistence through challenges.

Student-Led Advocacy in STEM: Grassroots leadership can expand opportunities, visibility, and access to STEM programs through sustained student initiative.

From Idea to Impact (Gold Award): Meaningful projects emerge from aligning personal passion with community need and executing through careful planning and follow-through.

Technology in Biomedical Engineering & Cancer Support: Data science and technology enhance biomedical innovation while strengthening patient-centered support systems.

Link to PARSE College: https://sites.google.com/view/hursau/home

Career Journey & Daily Work: What sparked their path into data science and what energizes their day-to-day problem-solving.

Sustaining a Two-Decade Career: A growth mindset that supports adaptability, curiosity, and purpose across shifting missions.

User Needs From the Ground Up: How real-world, hands-on experiences shape more empathetic, user-centered data tools and events.

Guiding Real-World Student Projects: Helping students identify meaningful problems and what distinguishes a standout capstone.

Communication Across Audiences: Tailoring language, tools, and teaching styles for executives versus classroom learners.

Influence of a Secondary School Teacher: Early encouragement can lead to long-term impact of belief and representation in STEM.

Problem-Solving Approach: Complex challenges are tackled through structured thinking, practical questioning, and a focus on clarity over complexity.

Making STEM Accessible: STEM is made approachable by connecting concepts to everyday life, encouraging curiosity, and removing barriers of intimidation.

Shift to STEMAZING and Inclusion: Transition into education and inclusion stemmed from a recognition of systemic gaps and a drive to increase representation in STEM fields.

Link to Stemazing: https://www.stemazing.co.uk/

Link to mentioned TedTalk: https://www.youtube.com/watch?v=_S4ZWYofAdQ

Mentoring at UofT: Helped students see hidden opportunities (like work-study programs), shaping a mentorship style grounded in practical guidance and empathy.

Project Coordination at Canada Bread: Learned to simplify data communication by focusing on outcomes, not visuals but answering “So what?” for non-technical stakeholders.

Adapting Across Projects: Staying curious and doing deep research into each domain helps turn unfamiliar territory into valuable insight.

Taking a Career Break: Pausing my career to pursue an MBA at Yale was about growing into a strategist who connects data with business impact.

NHIF Internship & Interest in Data Analytics: NHIF spark to explore data’s role in healthcare, blending purpose with problem-solving.

Short Intensive Courses (e.g. Kaggle x Google Gen AI): Short intensives give you concentrated exposure and momentum for testing new skills quickly without a long commitment.

Breaking Into Data Science Without a Formal Background: Credibility comes from consistency like personal projects and public contributions.

Overlaps Between Draco Work and Academic Research: Even across different domains, problem-solving patterns, experimental design, and data fluency often connect the dots unexpectedly.

Most Rewarding Part of Life Science Research Role at Stanford: The dual impact of advancing human health while constantly learning.

Consulting to Data Science: Structured thinking and stakeholder empathy are just as critical in data science as they are in consulting.

Choosing Tools in Evolving Environments: Letting the problem dictate the method.

Mentoring vs. Judging at Hackathons:The key is timing to guide with empathy, clarity, and fairness during and at the end of the process.

Personal Interests Shaping Professional Identity: Integrating personal passions into professional life makes your work more authentic, relatable, and impactful.

Community STEAM Access: Bringing STEAM into community spaces helps break barriers to access and makes learning feel more approachable and inclusive.

Engaging Young Minds: Making STEAM fun, hands-on, and adaptable across ages keeps young learners curious and engaged.

Designing for All: Teaching across educational stages informs the creation of activities that are both developmentally appropriate and universally exciting.

Future of STEAM: The future of STEAM education depends on creativity, accessibility, and community-driven initiatives like Amazelab.

Link to Amazelab: https://linktr.ee/Amazelab

IT Support Misconceptions: She shares the surprising fulfillment and common misconceptions about working in IT at IKEA.

Women in Tech: She explains why women-centered tech spaces still matter and how they empower community in 2025.

Event Impact: She reflects on the feedback and moments that make hosting events like Tech Trivia Night worthwhile.

Data-Driven Mindset: She discusses how real business outcomes at Costa Coffee reshaped her approach to problem-solving.