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Dr. Mithilesh Dronavalli

Medical Biostatistician / Lead Data Scientist

Statistical Programming
Social & Public/ Mental Health Research
Statistical Consulting
Biostatistics
Machine Learning
Employed Available
An Accredited Statistician (AStat), Data Scientist and medical doctor with nine years of experience in applying advanced statistical modelling and machine learning to clinical, public health and social research. Expertise in managing and analysing large-scale population datasets (1.8 million+ records) using R/R Shiny, Stata, PL/SQL, Python, SAS and Qilk.

Proven track record of leading research projects from conception to publication with a focus on statistics and data science. Statistical author on 28 articles in peer-reviewed journals with over 750 citations.

My research is in the areas of poverty, crime, social disadvantage, prenatal drug abuse, prematurity, children with disabilities, mental health, out of home care, addiction, Aboriginal Health, communicable diseases, cancer, heart disease, smoking cessation, breastfeeding, health and well-being, health education and aged care.

PhD - Data Science

Western Sydney University

October 2022 to December 2025
Evaluating Mental Health Services for the Socially Disadvantaged.
Evaluating the effectiveness of GP care plans in reducing metabolic risk for patients with serious mental illness.
Predictors and outcomes of change in socio-economic position over time and ensuing patterns of illness and receiving treatment.

Masters of Biostatistics

Monash University

January 2007 to June 2008
Statistical / Database Programming R, Stata, Python, PL/SQL, SAS Reproducible well commented segmented code

Visualisations Qlik, RStudio (for interactive live visualisations)

Statistical Consulting Clear written and verbal communication, interested, organised, excellent problem solving,

Study Design Critical Appraisal, Systematic Reviews, Meta-Analysis, Meta-regression

Statistical Techniques: Generalised Linear Models, Longitudinal/Correlated Outcome Data/Multilevel Modelling, Survival Analysis, Multiple Imputation, generating and simulating
data

Causal Inference Directed Acyclic Graphs, Propensity Scores, Inverse Probability Treatment
Weights, Regression Discontinuity, Differences in Differences, Instrumental Variables, Mendelian Randomisation, Causal Mediation Analysis (incl. sensitivity analysis, time to event,
multiple mediators)

Machine learning Random Forest, Longitudinal K-means, SVM, KNN, Classification and Regression Trees, Linear and generalised models for prediction,

Teaching and Supervision of Research Students

Data Management of large linked population data

RCTs Clinical Trials Design, Sample Size, Randomisation Schedule,

Simulation Modelling AnyLogic: Agent Based Simulation, Discrete Events and System Dynamics

Accredited Statistician since 2022: (Statistical Society of Australia)
Member Profile: https://www.statsoc.org.au/Sys/PublicProfile/48202292/4702721
Criteria: Degree in Statistics +
6 years of progressively advanced Statistical Experience + Submission of Major Works +
Maintaining Continual Professional Development + 5 year re-accreditations

MPhil in Cancer Epidemiology

University of Sydney, NHMRC Clinical Trial Centre

June 2007 to September 2011
Risk and Treatment Factors of Squamous Cell Carcinoma of the Lip

Training in Public Health Medicine

Australian Faculty of Public Health Medicine

Rotations: Rural and Indigenous Health, HIV, Public Health Unit (Communicable Disease and Environmental Health), Childhood Disability, Addiction and Pharmacoepi (TGA)

Coursework: Environmental Health Risk Assessments | Framing Indigenous Health| Health Promotion| Health Policy| Epidemiology and Control of Communicable Disease| Qualitative Research Methods| Environmental Health Risk Assessments | Introduction to teaching and supervision | Grant Writing | PRINCE 2 : Foundations and Practitioners | Good Clinical Practice (GCP) Certified as of 2022 Oct

MBBS BMedSc

University of Melbourne

January 2002 to December 2010
Honours Thesis: A Pharmacological mechanism for the Clinical Benefits of Angiotensin Converting Enzyme Inhibitors: Analyses of randomised controlled trials

High School Certificate

Fort St Selective High School

2001
Taught me broad content and diverse perspectives in a multicultural environment and how to LEARN and THINK.