Naresh Penchalaiah
Data Operations Associate @Healthgenic Solutions
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WORK HISTORY
Data Operations Associate @Healthgenic Solutions
Manchester, GB
Supported data cleaning, validation, and preparation of clinical and operational datasets to ensure accuracy and consistency prior to reporting.• Performed descriptive data analysis (counts, summaries, trends) to support internal reporting and operational reviews.• Assisted in preparing and maintaining Excel and Power BI reports, ensuring figures aligned with source datasets.• Conducted routine data quality checks, identified discrepancies, and documented issues for resolution.• Responded to ad-hoc data requests and maintained clear documentation of data sources, assumptions, and transformations.
EDUCATION
Seshadripuram Institute of Management Studies
12th grade , PCMC
Kristu Jayanti University
Bachelor's Computer Application , Computer Science
University of Liverpool
Msc Big Data and High Performance Computing IN , Data Modeling/Warehousing and Database Administration
Good Hope High School
10th Grade , 10th Grade
ABOUT NARESH PENCHALAIAH
I am an MSc student in Big Data and High Performance Computing at the University of Liverpool, currently gaining practical experience through a part-time Data Operations Associate role.I work with Microsoft Excel, SQL, basic Python, and Power BI to clean, validate, and prepare data for reporting. My responsibilities include performing descriptive analysis, supporting internal reports, conducting data quality checks, maintaining documentation, and assisting with dashboards. My experience is focused on building strong analytical foundations rather than advanced analytics or modelling.I have also completed a Data Analyst Internship, where I developed core data analysis skills such as data cleaning, basic data exploration, simple visualisations, and structured SQL querying under supervision.I am actively seeking Junior Data Analyst or Graduate Data Analyst roles in the United Kingdom, where I can continue to develop my technical skills, strengthen my analytical capabilities, and contribute through accurate, well-documented, and reliable data work.
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