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@dennisonumoru
Data analyst specializing in Python, SQL and Power BI, delivering actionable insights and data-driven solutions.
I am a detail-oriented data analyst with hands-on experience in data cleaning, exploration, visualization, and reporting using Python, PostgreSQL, Power BI, and Excel. I have supported utility analysis, automated consumption reporting, and ensured data quality for AI-driven models.
At Nigerian Breweries I automated water and energy consumption reports, performed complex analyses across departments, managed fair wage surveys, and supported network and device compliance using Active Directory and SCCM. I also contributed to IT operations, inventory monitoring, and software maintenance during an IT internship.
Most recently, I served as a Data Quality Reviewer for AI sewer-defect prediction, performing meticulous image labeling and collaborating with global teams to validate annotation accuracy, while researching infrastructure to inform annotation logic. I hold a Bachelor's in Computer Science and multiple certifications in Python, data science methodology, AWS Cloud, and mobile web development.
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Work history, roles, and key accomplishments
Pallon
May 2023 - Present (2 years 6 months)
Ensures data quality and annotation accuracy for AI-driven sewer defect prediction models, improving training dataset integrity through meticulous labeling and cross-team validation.
Nigerian Breweries Plc
Apr 2021 - Dec 2022 (1 year 8 months)
Automated water and energy consumption reports and performed utility usage analysis to improve operational efficiency; managed user access, device compliance, and supported network infrastructure.
Nigerian Breweries Plc
Feb 2019 - Apr 2019 (2 months)
Supported daily IT operations including software/hardware management, database monitoring for inventory, and installation of application updates to maintain operational continuity.
Degrees, certifications, and relevant coursework
Bachelor's Degree, Computer Science
2016 - 2020
Completed a Bachelor's degree in Computer Science with coursework and projects in programming, data analysis, and IT systems.
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