Experience

June 2019 - Current Data Science and Machine Learning Consultant at Stemly PTY LTD

– Led the design and implementation of machine learning models tailored to client-specific needs, focusing on supply chain forecasting and inventory optimization for diverse
industries.
– Advised on data-driven decision-making processes by leveraging advanced statistical analysis and predictive modeling techniques, resulting in improved operational efficiencies
and cost reductions.
– Collaborated closely with cross-functional teams to interpret complex data sets, extract actionable insights, and communicate findings to stakeholders at all levels,
facilitating informed business strategies.
– Contributed to the development of custom algorithms and tools for automated data processing, anomaly detection, and real-time monitoring systems, enhancing overall business
intelligence capabilities.
– Conducted workshops and training sessions on data science methodologies, including machine learning algorithms and model validation, to empower teams and foster a culture of
data-driven innovation within client organizations.
– Acted as a technical lead on multiple projects, overseeing project lifecycle from requirement gathering and solution design to implementation and post-deployment support,
ensuring alignment with client objectives and timelines.

Sept 2019 - Current Research Fellow (Machine Learning) at MONASH UNIVERSITY

– Conducted cutting-edge research in machine learning algorithms and techniques, with a focus on time series classification and regression, contributing to advancements in
scalable and interpretable models.
– Collaborated with interdisciplinary teams to formulate research hypotheses, design experiments, and analyze complex datasets using statistical methods and machine learning
frameworks.
– Published research findings in reputable journals and presented at international conferences, establishing credibility and contributing to the academic discourse in the field
of machine learning.
– Developed and implemented novel machine learning algorithms for real-world applications, such as healthcare monitoring systems and predictive analytics for financial markets,
demonstrating the practical impact of research outcomes.

Apr 2019 - Aug 2019 Research Assistant at MONASH UNIVERSITY

– Assisted senior researchers in conducting literature reviews, compiling research data, and performing statistical analysis using tools like Python, R, or SPSS.
– Designed and executed experiments, collected and processed data, and maintained detailed records of experimental procedures and outcomes to ensure reproducibility.
– Contributed to writing research proposals, grant applications, and progress reports, demonstrating strong organizational skills and attention to detail.
– Participated in team meetings and collaborated with interdisciplinary researchers to brainstorm ideas, troubleshoot problems, and contribute to project planning and execution.

July 2015 - Dec 2018 Teaching Associate at MONASH UNIVERSITY

– Course Instruction: Delivered lectures, conducted tutorials, and led laboratory sessions for undergraduate courses in [specific subject area]. Provided clear explanations of
complex concepts, fostering student engagement and comprehension.
– Curriculum Development: Contributed to the design and updating of course materials, including lecture notes, assignments, and assessment criteria. Incorporated innovative
teaching methodologies and real-world examples to enhance learning outcomes.
– Student Assessment: Designed and graded assignments, quizzes, and exams, ensuring fair and consistent evaluation of student performance. Provided constructive feedback to
students to support their academic growth and development.
– Student Support: Held regular office hours to provide academic support and mentoring to students. Addressed student inquiries, clarified course content, and guided students in
understanding difficult concepts.