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Data Analyst with 1+ years in Data Analysis & Visualisation
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Assessing your cultural and operational fit
Data Analyst with a strong statistical background and hands-on experience collecting, analyzing, and interpreting large datasets. Skilled in SQL, Power BI, and Python for building dashboards and reports that support data-driven decision-making. Experienced in identifying trends and patterns across complex datasets and presenting findings clearly to stakeholders. Looking for an entry-level Data Analyst role where I can contribute to business performance through accurate, insight-driven reporting.
International Institute for Population Sciences (IIPS)
M.Sc. · Survey Research and Data Analytics
August 1, 2024 – June 30, 2026
National College, Bharathidasan University
B.Sc. · Statistics
August 1, 2021 – June 30, 2024
Ministry of Statistics and Programme Implementation (MoSPI), NSO Madurai
Summer Intern | Phase I Internship
March 1, 2025 – May 31, 2025
Madurai, Tamil Nadu, India
Master's Dissertation
January 1, 2026 – Present
Evaluated and benchmarked 5 variance estimation methods using Time Use Survey 2024 data through R, Python, and Stata. Found higher Design Effects (DEFF) in Bootstrap-based estimates, highlighting the importance of accurate standard error estimation.
View ProjectAcademic Project
January 1, 2026 – Present
Developed and validated an ARIMA (1,1,0) forecasting model in Python, achieving stationarity through ADF testing and differencing. Model projections indicated a consistent upward trend in IPL scores, expected to stabilize around 189–190 runs in future seasons.
View ProjectInternship Project
January 1, 2025 – Present
Investigated population estimate divergences by examining 5 methodological and sampling related factors across Census and NSS data. Revealed that sampling design and coverage gaps were the main reasons for differences in demographic estimates.
View ProjectNPTEL Elite Intro to Machine Learning
IIT Madras
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background and internship at a government statistical organization suggest a preference for structured environments and rigorous methodologies. Their project diversity, ranging from variance estimation to population estimate divergence and sports forecasting, indicates adaptability and a broad interest in applying data analysis across different domains. The NPTEL certification in Machine Learning shows initiative for continuous learning, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their academic projects and internship. Their experience in collaborating with senior statisticians and field teams, as well as presenting research findings, indicates good teamwork and communication potential. The focus on data accuracy and quality checks aligns with operational best practices for data analysis roles.