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@kaf1
Passionate entry-level data scientist with strong analytical skills.
I am an entry-level data scientist with a strong academic foundation in AI, big data, and machine learning. My recent experience at KAF 1 Enterprise has allowed me to manage a comprehensive inventory system, achieving a 97% accuracy rate. I automated supplier invoice validation, which significantly reduced processing time and saved valuable hours for the accounting team.
In addition to my technical skills, I have a proven track record in data cleaning and predictive analysis. My voluntary work as a Database Engineer for a non-profit organization involved designing and maintaining a database of over 8,900 records, ensuring a 98% accuracy rate through effective data management practices. I am eager to leverage my expertise to transform complex data sets into actionable insights that drive informed decision-making.
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Work history, roles, and key accomplishments
KAF 1 Enterprise
Jan 2023 - Present (2 years 10 months)
As a Data Scientist at KAF 1 Enterprise, I manage a database of over 7,500 stock keeping units, achieving a 97% inventory accuracy rate. I automated supplier invoice validation, saving significant processing time, and introduced a data cleaning protocol that reduced discrepancies by 33%. I also initiated a weekly data quality audit process to maintain data integrity.
The COP Area
Apr 2013 - Apr 2024 (10 years 11 months)
In my voluntary position as a Database Engineer for The COP Area, I designed and maintained a database with 8,900 records. I utilized predictive analysis for forecasting and employed Python libraries to clean the database, achieving a 98% accuracy rate. I also visualized data for stakeholders to facilitate informed decision-making.
Degrees, certifications, and relevant coursework
Advanced Diploma, Python Programming
2022 - 2023
Advanced Diploma, Data Science
2022 - 2023
Master of Arts, Theology
2015 - 2018
Bachelor of Science, Economics
2000 - 2003
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