Dr. Jesmin Nahar's BIO: Dr. Jesmin Nahar is an experienced data scientist and academic with over 17 years of expertise in predictive analytics, statistical modeling, and machine learning applications across health and business sectors. She holds a PhD in IT specialization in Data Science from Central Queensland University (2007–2011), Australia, focusing on computational intelligence for cancer and heart disease diagnosis, and a PhD in Biological Science from the University of Rajshahi, Bangladesh. She also completed a master’s degree in information technology specialization in data science from Deakin University, Australia (2003–2004). Currently an Assistant Lecturer at Monash University, Dr. Nahar has extensive teaching and supervisory experience, having served as a Lecturer in Information Technology at Central Queensland University (2011–2014) and as a Senior Lecturer in Data Science at the University of Fiji (2015–2018), where she coordinated undergraduate and postgraduate research projects. She has supervised over 60 student data science projects annually and guided international research initiatives, including projects on COVID-19, environmental health, and predictive modeling for public health outcomes. Earlier in her career, Dr. Nahar managed a World Bank project in Bangladesh (1999–2001), leading six teams with 110 staff to develop the country’s silk industry and deliver sustainable poverty alleviation outcomes. She also led a government-funded research project in Fiji on fish poisoning and its impact on human health. Dr. Nahar has authored more than 20 peer-reviewed publications(https://scholar.google.com.au/citations?user=1AC_6lwAAAAJ&hl=en) in leading journals and conferences and serves as a reviewer for several international journals, including Expert Systems with Applications and Medical Systems. Her technical expertise spans Python, R, SQL, Power BI, and advanced machine learning techniques, and she has strong leadership experience managing cross-functional research teams and mentoring early-career academics.
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