Ujjwal KC
Ujjwal KC's academic and professional journey showcases a strong foundation in data science and its applications to complex societal challenges. He holds a PhD and has extensive experience collaborating with leading research institutions on developing effective cloud solutions for disaster management.
His expertise extends to applying data science to critical issues such as food system vulnerability and complex socio-economic problems.
Dr. KC specializes in creating interactive visualizations and data products that make complex information accessible to diverse audiences. He is proficient in a wide range of data visualization tools and their deployment. His programming skills span multiple languages and he has extensive experience with various data analysis and machine learning tools. His work often involves handling sensitive data from government sources, requiring strict adherence to data governance and privacy protocols.
Throughout his career, Dr. KC has contributed significantly to academic literature on topics ranging from wildfire risk assessment to food system resilience, demonstrating his ability to apply advanced analytical techniques to real-world problems. He has expertise in emerging technologies and their applications in data science. His experience includes roles in teaching and research supervision, contributing to the development of future data scientists and researchers.
With additional certifications in Data Analysis and Data Science, and a background in Electronics and Communication Engineering, Dr. KC brings a multidisciplinary approach to tackling complex data challenges. His commitment to continuous learning and innovation drives him to stay at the forefront of data science and its applications in solving critical societal issues.
Session
Navigating the transition from school to employment or further education is a critical juncture that can shape a young person's long-term economic trajectory. However, many Australian young adults face significant disadvantages and barriers that limit their opportunities, which can vary drastically across different communities. Some areas struggle with elevated poverty rates and high disengagement from school and training, while others lack sufficient local employment prospects aligned with young people's skills and interests. Without granular, place-based data, it is difficult for policymakers, community organizations, education providers, and other stakeholders to fully understand these nuanced challenges and make informed decisions to support positive youth transitions.
YouthView is an innovative online platform that combines rich Australia-wide datasets on youth disadvantage indicators like poverty, NEET (not in employment, education or training) status, and unemployment with detailed employment data, skills demand, and job vacancy information at the regional level. This powerful tool communicates important research findings in two ways: a guided storytelling mode that highlights key insights through interactive maps and visualizations, and an open-ended exploratory dashboard.
The storytelling mode illuminates critical spatial patterns and socioeconomic disparities based on factors like geographic region, remoteness, and proximity to capital cities. However, YouthView goes beyond just presenting findings. The interactive dashboard allows users to filter, disaggregate, and visualize youth disadvantage metrics alongside employment, skills needs, and business data for any area of interest across Australia. Stakeholders can overlay related datasets to analyze complex relationships between disadvantage factors, labor market dynamics, and economic opportunities.
By integrating data storytelling with self-directed exploration and visualization of granular community-level data, YouthView empowers data-driven decision-making and planning. It can guide the development of targeted policy responses, interventions, and resource allocation to improve youth economic outcomes and expand opportunities where needed most.