About
I'm a driven and solutions-oriented Junior-Level Data Scientist with under three years of hands-on experience in the tech industry. My journey into data science is rooted in a strong passion for uncovering insights from data and transforming complex problems into actionable strategies. I have a solid foundation in statistical data analysis, data visualization, and machine learning, with practical experience in Python, and key tools like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and SciPy.
I thrive in collaborative environments and I'm always eager to learn and apply new techniques to deliver value. Whether it's cleaning raw datasets, building predictive models, or presenting findings to stakeholders, I approach every task with precision and curiosity. My growing expertise is backed by a strong commitment to continuous learning, adaptability, and delivering measurable impact through data driven decision making.
Work
Education
AltSchool Africa
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Diploma
Data Science
Ekiti State University, Ado-Ekiti, Nigeria.
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Bachelor's degree
Computer Science
Skills
Analytical & Statistical Skills
Exploratory Data Analysis (EDA), Hypothesis Testing and A/B Testing, Probability & Statistics, Regression Analysis, Time Series Analysis.
Data Tools & Platforms
JupyterLab, Google Colab, Jupyter Notebook, Anaconda Navigator, GitHub.
Other Skills
Microsoft PowerPoint, Microsoft Excel, Canva.
Soft Skills
Critical Thinking, Problem Solving, Communication of Insights, Discipline, Teamwork, Attention to detail, Adaptability, Time Management, Work Ethic, Confidence, Continuous Learning, Active Listening.
Top Skills
Insights Presentation, Programming, Data Manipulation & Analysis, Data Visualization, Mathematical Statistics & Probability.
Technical Skills
Python, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Requests, BeautifulSoup, SciPy, Statsmodels.
Languages
English
Fluent
Yoruba
Native
Nigerian Pidgin
Native
Projects
Interests
Tech & Learning
Exploring real-world problems through data, Attending local or virtual tech meetups and hackathons, Watching tech documentaries and YouTube videos, Participating in online data challenges (e.g., Kaggle).
Podcasts & Media
Staying curious through podcasts on tech, cultural heritage, and innovation, Following trends in AI, digital tools, and productivity, Collecting threads on X/Twitter for tech trends.