Results-driven Data Analyst with a Master’s in Data Science and credentials as a Google Certified Data Analyst. Skilled in SQL, Python, Excel, Power BI, and Tableau, with hands-on experience in data cleaning, visualization, and dashboard creation. Adept at statistical analysis, predictive modeling, and collaborating with stakeholders to deliver actionable, data-driven insights.
Optimizing E-commerce Deliveries Using ML:
Analyzed 128K+ transactions to predict courier delays using logistic regression and random forest.,
Used Python (Pandas, Scikit-learn, Seaborn, Matplotlib) for data processing and visualization., Delivered insights to reduce cancellations, improve delivery efficiency, and address non-compliance risks.
MSc Dissertation - Mental Health Analysis:
Analyzed 413K+ records using Python (Pandas, Scikit-learn) with regression, ANOVA, and PCA., Built Power BI dashboards to identify mental health risk factors and aid compliance decisions., Identified key mental health risk factors through statistical modeling and data exploration.