I have expertise in tutoring statistics and data management, along with proficiency in SQL, Python, and data visualization. I thrive in fast-paced environments, transforming complex data into actionable insights.
Developed a predictive model to identify customers likely to churn, showcasing essential forecasting skills applicable to preemptively addressing potential issues in logistics processes.
Utilized Plotly for advanced data visualization to transform complex data into clear, actionable insights, highlighting the importance of effective data presentation for stakeholder communication and process improvement.
Applied complex linear regression to analyze and optimize factors impacting shipping, demonstrating proficiency in statistical analysis crucial for enhancing supply chain efficiency and delivery quality.
Conducted an in-depth analysis of airline customer satisfaction, illustrating the ability to translate findings into strategies for improving delivery quality and operational processes in logistics.
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I'm passionate about uncovering insights from data. With a background in clinical psychology from The University of Manchester, I bring a unique perspective to data analytics. Proficient in SQL, Python, and data visualization, I excel at transforming complex data into actionable insights. I thrive in dynamic environments and enjoy tackling challenging data problems.
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