Data Analyst | Insights Explorer | Visualization Enthusiast
I'm a passionate data analyst with a knack for turning raw data into meaningful stories and actionable insights. My goal is to help businesses make data-driven decisions by uncovering patterns and trends in their data.
Analyzed Cyclistic's historical bike trip data to understand how annual members and casual riders use their bikes differently. Used R for data cleaning, analysis, and visualization. Key findings led to targeted marketing strategies to convert casual riders into annual members.
Conducted an in-depth analysis of smart device usage data to gain insights into how consumers use non-Bellabeat smart devices. Utilized Python and Pandas for data manipulation, and Matplotlib for creating insightful visualizations. Recommendations were made to influence Bellabeat's marketing strategy.
Developed a machine learning model to predict customer churn for a telecommunications company. Implemented various algorithms including Random Forest and Gradient Boosting using scikit-learn. The model achieved 85% accuracy, enabling proactive retention strategies.
Designed and conducted an A/B test to evaluate the effectiveness of a new website design. Used statistical analysis in Python to determine if the new design significantly improved conversion rates. Results led to a 15% increase in overall conversions.
Completed the Google Data Analytics Professional Certificate, gaining expertise in data analysis and visualization.
Completed the Google Advanced Data Analytics Professional Certificate, mastering advanced analytical techniques.