Open to opportunities

aparna Unni

@aparnaunni

Message

I validate large, messy datasets using Python, statistics, and reproducible data pipelines.

Ireland

Message

What I'm looking for

I'm looking for a data-focused role where I can clean, validate, and analyse real-world datasets using Python and statistics, communicate clear findings, and continue developing my skills in data quality and analysis.

I'm building and maintaining Python data pipelines at Maynooth University to clean, validate, and analyse large observational astrophysical datasets.

My PhD research on star formation uses pandas, SciPy, Matplotlib, and statistical methods to extract physical parameters from noisy instrument data. I systematically cross-check findings against expected physical models to identify errors and anomalies.

At the Indian Institute of Astrophysics, I cleaned, processed, and validated environmental and site-monitoring sensor data, summarising trends and flagging inconsistencies for the research team.

I've presented validated findings at international conferences and teach and demonstrate physics labs, where I review reports for accuracy and communicate results to both technical and non-technical audiences.

Experience

Work history, roles, and key accomplishments

Current

Data Quality Analyst

Current

Maynooth University

Jan 2022 - Present (4 years 7 months)

Final-year PhD researcher in Experimental Physics with hands-on experience validating and analysing large, messy real-world datasets using Python and statistics. Skilled at identifying anomalies, verifying data integrity, and cross-checking findings against expected outcomes.