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Associate Data Analyst with 1+ years in Data Analytics & Statistics
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Associate Business Analyst with a Master's in Statistics and a proven ability to translate complex data into actionable business intelligence. Experienced in stakeholder collaboration, having partnered with PhD researchers and supervisors to understand objectives and deliver tailored analytical solutions. Skilled in SQL, Power BI, R, and Advanced Excel for data modeling, dashboarding, and reporting. Adept at communicating technical findings to non-technical audiences through clear explanations and compelling data visualizations to drive strategic, data-informed outcomes.
Pondicherry University
Master of Science · Statistics
January 1, 2022 – January 1, 2024
St. Teresa's College
Bachelor of Science · Mathematics
January 1, 2019 – January 1, 2022
ICAR - Central Institute of Fisheries Technology (CIFT)
Analyst Intern
July 1, 2025 – February 1, 2026
Cochin, Kerala, India
Public Health and Community Engagement
Data Intern
February 1, 2025 – April 1, 2025
India
GLMM Analysis of Bycatch Reduction in Trawl Nets
January 1, 2024 – Present
• Built GLMM (binomial, logit link) in R to model fish retention probability. • Estimated L50 and selectivity curves to evaluate modified fishing gear efficiency. • Demonstrated improved escape probability of smaller fish using statistical modeling.
Co-occurrence Analysis
January 1, 2023 – Present
• Analyzed 7-year dataset (77 species, 209 hauls) using R. • Built null models, GLMs, and correlation matrices to study species associations. • Identified depth and seasonal effects on catch variability using statistical modeling.
Target vs Bycatch Statistical Analysis
January 1, 2023 – Present
• Compared target vs bycatch using R, Excel, and power analysis tools. • Applied non-parametric tests and correlation analysis to study seasonal trends. • Identified significant differences and monthly variability in catch patterns.
Gear Efficiency & Catch Analysis
January 1, 2023 – Present
• Evaluated multi-year fisheries data using R to assess gear modification impact. • Performed Kruskal-Wallis, Dunn tests, and seasonal trend analysis. • Demonstrated significant reduction in jellyfish interference without affecting catch.
Length-Weight Relationship & Seasonal Growth Analysis
January 1, 2023 – Present
• Analyzed 1,397 biological samples using regression models in R, Excel, and SPSS. • Performed ANOVA, t-tests, and non-parametric comparisons to evaluate seasonal growth patterns. • Built visualizations and interpreted statistical outputs to derive ecological insights.
Truss Morphometric Analysis
January 1, 2023 – Present
• Extracted landmark coordinate data using TPS software and processed datasets in PAST and Excel. • Cleaned and structured morphometric variables for statistical analysis and shape comparison.
Workshop on Sample Size and Power Analysis in Medical Research
Department of Biostatistics, NIMHANS
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong inclination towards data analysis in scientific and public health domains. Their experience with diverse datasets (fisheries, biological, community health) and various analytical techniques suggests adaptability and a broad interest in applying statistical methods. The collaboration with PhD scholars and participation in community engagement programs indicate a team-oriented approach and a willingness to contribute to broader objectives. This aligns well with a culture that values data-driven decision-making, collaboration, and continuous learning, making them a good cultural fit for roles requiring analytical rigor and practical application.
Soft Skills & Operational Fit
The candidate demonstrates good soft skills such as communication, problem-solving, teamwork, stakeholder management, and technical communication, as listed in their resume. Their internship experience at ICAR - CIFT involved collaboration with PhD scholars, indicating an ability to work effectively in a research-oriented team and understand stakeholder needs. The Public Health internship also highlights participation in community engagement, suggesting a collaborative and service-oriented mindset. These skills are valuable for an Associate Data Analyst role that often requires cross-functional interaction and clear communication of findings.