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yonatan BerhanuYB
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yonatan Berhanu

@yonatanberhanu

Data Quality Assurance & analytics specialist using machine learning to turn complex datasets into evidence-based decisions.

Ethiopia
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What I'm looking for

I’m looking for a role where I can own data reliability and analytics, apply machine learning to forecast and validate models, and support digital transformation with structured, evidence-based decision-making.

I’m a results-driven analytical professional who uses machine learning, data analytics, and digital transformation to deliver actionable insights. I translate complex datasets into reliable, decision-ready outputs through structured, evidence-based approaches.

In my current role as a Data Quality Assurance Specialist (Betting Platform — Cambodia, Remote), I designed and executed systematic QA across large operational datasets. I identified inconsistencies, reduced error rates in real-time reporting environments, and built scalable verification frameworks that strengthened data reliability across multiple concurrent work streams.

Earlier, I developed an ANN model for drought forecasting as part of my MSc Thesis (Tekeze River Basin, Ethiopia). Using multivariate hydrological and climatic datasets, I improved prediction accuracy with hypothesis formulation, model validation, and sensitivity analysis—skills I continue to apply as I expand into advanced analytics and digital transformation through my Thunderbird (ASU) program.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Mekelle University logoMU

Mekelle University

Master of Science, Hydraulic & Water Resources Engineering

2018 - 2021

Grade: GPA: 3.44/4.0

Activities and societies: Thesis: Drought Forecasting Using ANN (Tekeze River Basin). Built and validated ANN model; performed sensitivity analysis and delivered insights for resource allocation.

MSc in Hydraulic and Water Resources Engineering with a thesis on drought forecasting using artificial neural networks (ANN) for the Tekeze River Basin. Designed and deployed an ANN model using multivariate hydrological and climatic time-series data to improve forecasting accuracy for water resource planning.

Mekelle University logoMU

Mekelle University

Bachelor of Science, Civil Engineering

2013 - 2018

Grade: GPA: 2.93/4.0

Activities and societies: Selected for university-level thesis competition (top research recognition).

BSc in Civil Engineering from Mekelle University. Completed undergraduate studies and was selected for a university-level thesis competition, receiving top research recognition.

Tech stack

Software and tools used professionally

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