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Eucabeth Okeiga

@eucabethokeiga

Enthusiastic Data Analyst with a passion for actionable insights.

Serbia

What I'm looking for

I am looking for a role that fosters growth, encourages innovation, and values data-driven decision-making.

I am an enthusiastic Data Analyst with over a year of experience in transforming complex datasets into actionable insights. My proficiency in MySQL, Python, Tableau, and Git has allowed me to effectively analyze data and create interactive dashboards that drive organizational success. I am committed to delivering impactful results through meticulous data analysis and visualization.

During my tenure at CIP_CAMP, I executed complex SQL queries on datasets exceeding 10,000 records, enhancing operational efficiency by 15%. I designed and implemented Power BI dashboards that enabled senior management to make data-driven decisions, resulting in a 20% increase in ROI. My dedication to data integrity and reliability has led to a 30% reduction in data errors, ensuring that critical business decisions are based on accurate information.

Experience

Work history, roles, and key accomplishments

CI

Data Analyst

CIP_CAMP

Jan 2024 - Dec 2024 (11 months)

As a Data Analyst at CIP_CAMP, I executed complex SQL queries on large datasets, designed Power BI dashboards, and automated ETL processes using Python. My work improved operational efficiency and data reliability, enabling data-driven decision-making for senior management.

Education

Degrees, certifications, and relevant coursework

Harvard University logoHU

Harvard University

Programming with Python, Computer Science

2024 - 2026

Currently pursuing a course in Programming with Python, covering essential programming concepts including functions, variables, loops, and object-oriented programming.

KU

Kenyatta University

Bachelor of Science, Biochemistry

2016 - 2021

Completed a Bachelor of Science in Biochemistry, focusing on the biochemical processes and molecular biology, which provided a strong foundation for analytical skills applicable in data analysis.

Tech stack

Software and tools used professionally

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