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π As a graduate of the Women Techsters Fellowship in Data Science, I am building a strong portfolio that highlights my skills in data cleaning, analysis, and advanced modeling..
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π± Iβm currently Doing projects in machine learning, deep learning, LLMs and exploratory data analysis with Python.
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π― Iβm looking to collaborate on Data analysis and Data Science Projects
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π¬ Ask me about my journey into Data Science and Personal Development
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π« How to reach me: samueltaiwo856@gmail.com
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π Pronouns: Her/She
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β‘ Fun fact: I always have a smile on my face.π
Introduced to the realm of data science during my first year in university while pursuing industrial mathematics, I later enrolled in a statistics course, which led me to discover the fascinating world of data science and analytics. Driven by my innate curiosity, I started learning Python independently. After much exploration, taking various courses, and navigating through trial and error, I had the opportunity to receive a scholarship for the Women Techsters Fellowship Programme by @Tech4Dev. This experience provided me with a structured roadmap and significantly enhanced my understanding of data science.
[Linkedin:]https://www.linkedin.com/in/grace-samuel-b439a5305/