I enjoy transforming complex data into clear, actionable insights and designing visualizations that tell a compelling story to drive informed decision-making
Forecasting future trends and understanding customer behavior through predictive models is where I thrive, from building models to deploying them effectively.
I am passionate about building dashboards and reports that enable businesses to understand trends and optimize their strategies using data
Streamlining workflows and automating repetitive tasks with technology allows me to help organizations improve efficiency and focus on growth initiatives
Built a predictive model to forecast customer churn for a restaurant using historical customer data. Cleaned and preprocessed data to prepare it for machine learning algorithms, allowing for business recommendations in marketing and pricing strategies. Visualized key factors impacting churn, such as customer age, average sales, and annual income, which allowed for the development of retention strategies.
Analyzed 20 quarters of retail sales data, identifying key revenue drivers such as seasonality, promotional effects, and external events impacting sales performance. Created dashboards that helped visualize performance trends to describe high-performing products and periods, aiding in inventory planning and promotional strategies.