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Prateeksha Dawn Davidson

@prateekshadawndavids

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Health data-focused Statistician who turns survey and clinical data into evidence.

India

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What I'm looking for

I’m looking to apply my statistics and health data skills across the full research data lifecycle—cleaning, validation, modeling, and reproducible documentation—while collaborating with multidisciplinary teams to support evidence-based decision-making.

I’m a detail-oriented research statistician with experience supporting the full research and survey data life cycle—from literature review and study design through data collection, cleaning, validation, and documentation.

In my roles at ICMR units, I developed and validated statistical models for large-scale survey and epidemiological datasets, running regression analysis, hypothesis testing, and risk-factor identification to support evidence-based conclusions. I also co-authored peer-reviewed work using statistical modeling to uncover risk factors and predictive patterns in population health data.

I build and maintain data pipelines with R and Python, including variable recoding, missing value imputation, and outlier detection, and I run stringent quality checks to ensure model inputs match study logic. I focus on reproducibility through codebooks and documentation in alignment with ethical guidelines and research standards.

I’m comfortable collaborating with multidisciplinary teams to translate complex statistical findings into actionable reports for stakeholders. I’ve also supported statistical expertise through health technology assessment work, including Python-based textual data extraction and meta-analysis/systematic review methods.

Experience

Work history, roles, and key accomplishments

Project Technical Assistant

Model Rural Health Research Unit (ICMR)

Jan 2022 - Sep 2023 (1 year 8 months)

Served as sole statistician and project technical assistant for MRHRU projects. Built and validated statistical models (including regression and hypothesis testing) and maintained R/Python data pipelines with quality checks for survey/epidemiological datasets, translating results into stakeholder reports.

Statistical Modeling regression Hypothesis Testing Data Validation Data Quality Assurance Data Pipelines R Python Pandas NumPy Scipy Codebooks Data Cleaning

Junior Consultant

National Institute for Research in Tuberculosis (ICMR)

Jan 2021 - Mar 2021 (2 months)

Provided statistical support as a junior consultant for an ICMR–NIRT initiative to establish a resource centre/hub for health technology assessment. Developed Python-based textual data extraction algorithms and applied meta-analysis and systematic review methods to estimate treatment effects and support evidence-informed policies.

Python Meta Analysis Clinical Research

Statistician Intern

Elisar Vision Technology

Jan 2020 - Jun 2020 (5 months)

Supported the R&D team as an intern statistician to evaluate a medical device’s sensitivity and specificity in a clinical research setting. Developed a Python package to streamline statistical testing, and created a 'VisualField' package to analyze and interpret clinical data.

Sensitivity Specificity Medical Device Testing Python Data Exploration Data Visualization Clinical Research

Data Analyst Intern

Spinircle Pvt. Ltd.

Jan 2017 - Feb 2017 (1 month)

Worked as an intern data analyst assisting senior analysts with data cleaning, preprocessing, and analysis to support data quality and integrity. Used Microsoft Excel for data sorting, organization, and visualization through charts and pivot tables.

Data Cleaning data preprocessing Data Analysis Data Quality Assurance Excel Pivot Tables Data Visualization Charts