Resume/CV

    Profile

Experienced senior data officer with a proven track record in clinical trial and registry management, complemented by extensive teaching experience in the field. Proficient in data analysis, stakeholder communication, and adherence to protocols. Skilled in utilising Microsoft Office, statistical software (R and Stata), and SQL databases. Committed to delivering high-quality research outcomes and fostering collaborative relationships in accordance with project objectives and industry standards.

Skills

  • Data Management & Analysis: Proficient in planning and executing data-related tasks, including analysis and reporting, in line with research objectives and protocols.
  • Confidential Data Handling: Experienced in managing sensitive data securely, ensuring compliance with privacy and ethics regulations.
  • Stakeholder Communication: Excellent interpersonal skills for effectively liaising with diverse stakeholders, providing expert advice, and addressing inquiries.
  • Technical Proficiency: Skilled in using software tools for data analysis (e.g., Stata, R, SQL) and visualisation, along with proficiency in Microsoft Office applications.
  • Adherence to Protocols: Demonstrated ability to adhere to research protocols, standards, and guidelines, ensuring compliance with confidentiality and ethical principles.
  • Collaboration & Support: Able to build and maintain effective relationships with colleagues, collaborators, and stakeholders to support research goals.
  • Continuous Learning: Committed to ongoing professional development, staying updated with advancements in relevant research areas.

Employment History

Senior Data Officer for ASPREE Clinical Trial, School of Public Health and Preventive Medicine, Monash University -Nov 2020-Present (0.8FTE)

  • Employed R and Python to meticulously process and clean over 30 large, intricate datasets, ensuring they were analysis-ready.
  • Crafted comprehensive data dictionaries and handbooks for internal and external investigators, facilitating seamless data interpretation.
  • Collaborated closely with cross-functional teams, including data, endpoint, and operational teams, to identify and resolve data anomalies efficiently.
  • Utilised project management platforms like Trello to coordinate and contribute effectively to team projects, ensuring smooth workflow.
  • Demonstrated proficiency in version control using GitLab, facilitating the review and documentation of R scripts prepared for dataset generation and report writing.
  • Efficiently managed data requests from both internal and external stakeholders using Freshdesk, ensuring timely and accurate delivery of datasets and reports.

Unit-Coordinator and Chief examiner for Practical Health Data Management Unit (MPH5277) and Health Data Management (PBH3010) – February 2020 to Present (0.2FTE)

  • Instructed and mentored a total of 120 postgraduate and 60 undergraduate students in practical data management techniques, equipping them with vital skills, including R programming, necessary to navigate the entire lifecycle of health data projects.
  • Garnered consistently positive feedback and high ratings from students in teaching evaluations, reflecting effective delivery of course content and engagement with learners.

Data Analyst, COVID-19 Public Health Response Team – Department of Health Victoria, August 2020- December 2020

  • Functioned as a pivotal member of the COVID-19 response team during the challenging pandemic period, specialising in data analytics to support critical decision-making processes.
  • Conducted comprehensive evaluations and visualisations of health service access and COVID-19 incidence within Melbourne City councils, providing actionable insights for targeted interventions such as testing and contact tracing.
  • Contributed directly to the facilitation of public health interventions by delivering impactful outputs derived from analytical work, aiding in the management and mitigation of the COVID-19 crisis.

Lecturer, The Institute of Public Health, University of Gondar, Ethiopia, September 2012 – October 2016

  • Instructed medicine and health sciences students in Biostatistics and Epidemiology, ensuring comprehensive understanding and application of key concepts.
  • Offered research supervision and guidance to students, fostering their development as competent researchers.
  • Took charge of organising and leading fieldwork and community professional practices, providing students with hands-on experience and practical skills relevant to their field of study.
  • Secured three research project grants and published several manuscripts.

Education

PhD in Epidemiology, Monash University- April 2020

  • Thesis Title: Heterogeneity in Tuberculosis infectiousness: understanding its impact on epidemiology and control.
  • Utilised Victorian statewide Tuberculosis Contact tracing data to perform statistical analysis and mathematical modeling, contributing to a deeper understanding of tuberculosis epidemiology and control strategies.
  • Field of research – Epidemiology, Biostatistics, Mathematical modelling, Infectious disease, Tuberculosis.

MPH in Epidemiology and Biostatistics, University of Gondar, Ethiopia – June 2012

  • Graduated as the top first student with Very Great Distinction, achieving a CGPA of 3.94/4.
  • Thesis Title: “Rate of immunological failure and its predictors among patients on highly active antiretroviral therapy at Debremarkos Hospital, northwest Ethiopia.”
  • Utilised medical records of patients on highly active antiretroviral therapy, employing repeated measures of CD4 counts to investigate the risk of immunological failure, contributing valuable insights to HIV treatment outcomes.

BSc in Medical Laboratory Science, Hawassa University – July 2008

  • Graduated with Very Great Distinction, earning a CGPA of 3.95/4.0.
  • Conducted a project on the “Prevalence of malaria and associated factors at Shashemene Health Center, Shashemene, Ethiopia,” performing both thin and thick blood films to detect plasmodium parasites and identify their species, contributing to the understanding of malaria prevalence and transmission in the region.

Short Courses and training

Data management and analysis methods

  • Clinical Natural Language Processing, Coursera
  • Advanced Survival Analysis course at ViCBiostat, 2017, Melbourne, Australia
  • Cleaning Data In R with Tidyverse and Data.table, Udemy
  • The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert, Udemy
  • R Programming A-Z™: R For Data Science With Real Exercises, Udemy
  • Machine Learning with Python, Coursera
  • Linear Algebra for Data Science in R, DataCamp
  • Hospital management database using SQL server, Coursera
  • Google Data Analytics
  • Prompt Engineering for ChatGPT, Coursera
  • Generative AI learning path, Google

Epidemiology

  • Infectious Disease Modelling and Its Applications. London School of Hygiene and Tropical Medicine 2017, London, UK
  • Agent-Based Models for Population Health. Columbia University (EPIC), 2018. Online
  • Social Network Analysis. Columbia University (EPIC), 2018 New York, USA.
  • Advanced Tuberculosis Diagnostics, 2018. McGill University, Montreal, Canada.