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@eniolaijaduolu
Results-driven Data Analyst with extensive experience in data interpretation.
I am a results-driven Data Analyst with extensive experience in collecting, analyzing, and interpreting large datasets to drive business success. My proficiency in Python, R, SQL, Tableau, and Excel allows me to uncover trends, develop predictive models, and craft impactful visualizations. I have a strong track record of delivering actionable insights that improve operational efficiency and inform strategic planning.
In my recent role as a Data Analysis Intern at DawnWatch, I gathered and cleaned data from multiple sources, ensuring accuracy for analysis. I identified trends and insights using statistical tools, which supported the development of data-driven strategies to improve decision-making processes. Additionally, I contributed to the development of multimodal AI models as a Data Annotator at Turing, where I ensured precise labeling and data integrity for projects, including one for Apple.
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Work history, roles, and key accomplishments
Turing
Sep 2023 - Present (2 years 2 months)
Contributed to the development of multimodal AI models through high-quality data annotations. Collaborated on a project for Apple, ensuring precise labeling and data integrity. Assisted in improving model accuracy through meticulous tagging and categorization.
DawnWatch
Nov 2022 - May 2023 (6 months)
Gathered and cleaned data from multiple sources, ensuring accuracy for analysis. Identified trends and insights using statistical tools like Excel and Python. Supported the development of data-driven strategies to improve decision-making processes.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2016 - 2021
Studied Computer Science with a focus on programming, data structures, and algorithms. Developed skills in software development and data analysis.
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