Anika Islam D.

Research Analyst & Quality Control

As a student I have been extensively involved in my school community, which has allowed me to develop strong interpersonal skills. My involvement in various events, including drama eisteddfods and sports carnivals, has allowed me to work closely with my peers while supporting the school community as a whole. These experiences have allowed me to develop strong time management and organizational skills, which I see as being very important when seeking to work in casual employment while continuing to study. During my previous role at Opsonin Pharma, I worked with large amounts of data, facts, and figures. I am an expert at seeing through data to conclusions and crunching numbers. I often relied on my pristine communication skills to present my findings. I was responsible for translating my data into an understandable format for others to read. I am vigilant in ensuring that my data and findings are precise, and I can handle large volumes of data and mathematical problems with ease. During my academic career I studied a wide range of topics to support my Chemical Engineering degree at Swinburne University of Technology. My college education gave me access to topics such as probability, data computing, stochastic processes, game theory, machine learning, sampling statistics, design and analysis of experiments, and calculus. My education has allowed perfecting my skills as a Business person and as a team player. I possess an impeccable work ethic and am able to meet tight deadlines. I am skilled in research projects and As someone who is highly inquisitive and analytical, I am skilled at developing and implementing methodology, assisting in data collection and analyzing the results of research. As a Student I especially enjoyed working with the research team to develop specific hypotheses and data collection methods. As a research assistant to my supervisor in Swinburne University of technology Sarawak I was able to work with the team of researchers to develop a method of collecting data that was found to be 80% more effective than the methods previously used.