Data Scientist with less than a year in Biostatistics & Statistical Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Biostatistics postgraduate with expertise in statistical analysis, clinical research, and epidemiology. Experienced in handling healthcare datasets, applying data analysis techniques, and supporting evidence-based decision making. Proficient in R, SAS, python, and familiar with clinical trial methodologies, data management, and biostatistical modeling.
Kannur University
MSc · Biostatistics
August 1, 2023 – June 30, 2025
Govinda Pai Memorial College
BSc · Statistics
August 1, 2019 – June 30, 2022
Christian Medical College Vellore
Clinical Epidemiology Project Trainee
February 1, 2025 – May 1, 2025
Vellore, Tamil Nadu, India
Uncovering Hidden Profiles of Malnutrition in Under-Five Children in Kerala: A Latent Class Approach using NFHS-5 Data
January 1, 2025 – January 1, 2025
Applied Latent Class Analysis (LCA) to identify hidden malnutrition profiles among children under five. Used key indicators: stunting, wasting, and underweight. Performed data cleaning, preprocessing, and statistical modeling using R.Evaluated model fit using BIC, AIC and entropy. Identified 8 distinct latent classes and analyzed socio-demographic variations across groups. Created data visualizations to interpret class probabilities and model performance.
Introduction to the Principles and Practice of Clinical Research
National Institutes of Health (NIH)
June 1, 2026 – Present
Good Clinical Practice (GCP)
National Institute on Drug Abuse
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work show a focus on public health and clinical research, which aligns well with roles in healthcare or biostatistics-focused data science. The diversity of projects is limited to academic and internship experiences, primarily within the same domain. The breadth of skills is good for statistical analysis but lacks depth in broader machine learning, software engineering, or large-scale data infrastructure, which are often expected in a general Data Scientist role. The target role 'Data Scientist Data Scientist' is redundant and suggests a general interest in the field, but the candidate's profile leans more towards a Biostatistician or Clinical Data Scientist.
Soft Skills & Operational Fit
The candidate's profile indicates a strong analytical mindset and a structured approach to research, which are beneficial for a Data Scientist role. The academic background and project work suggest an ability to work independently on complex problems. However, the psychometric test score is low, which might indicate potential challenges in areas like logical reasoning, work attitude, stress handling, or team collaboration. Further assessment would be needed to understand the implications for operational fit.