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I’m a motivated Data Science and Analytics graduate from the University of East London, where I built a strong foundation in data structures, machine learning, data visualization, statistical inference, and big data analytics. I’m driven by turning analysis into outcomes for real stakeholders.

In my Data Science Intern role at ABC Corp, I conducted exploratory data analysis to uncover meaningful trends and developed machine learning models to predict customer churn, improving prediction accuracy by 20%. I also supported data cleaning and preprocessing to protect the integrity of datasets used for analysis.

Previously, as a Data Analyst Intern at XYZ Solutions, I analyzed customer data to identify trends and optimize marketing strategies, delivering a 10% increase in ROI. I performed A/B testing and statistical analysis, and I automated data collection and reporting—saving 15 hours per week on manual tasks.

My projects reflect how I work end-to-end: using K-means clustering with PCA for customer segmentation, and building a linear regression model for house price prediction with datasets over 5000 records. I hold the Google Data Analytics Professional Certificate and completed “Machine Learning by Stanford University,” and I bring a problem-solving mindset shaped by continuous learning.