Utilize biometric and travel data to enhance security and customer experience at major airports and stadiums, employing advanced data analytics tools such as Snowflake, SQL, and PythonAnalyze customer interactions and touchpoints across biometric verification systems to develop targeted marketing strategies and improve conversion rates.Develop predictive models to anticipate security risks and optimize checkpoint operations, contributing to safer and more efficient traveler processing.Support strategic decisions by providing insights from complex datasets, employing statistical analysis and machine learning techniques to inform business and operational strategies.Design and maintain dynamic dashboards using Google Data Studio and Power BI, presenting key metrics and insights to stakeholders to drive business decisions.Collaborate with IT and security teams to align data analytics with system enhancements and operational needs, ensuring data integrity and actionable insights.Lead agile projects focusing on the continuous improvement of data processes and analytics capabilities, enhancing data-driven decision-making across the organization.

As a Marketing Data Analyst, I contributed to an increase in vacation rental bookings success, analyzing customer behavior that informed marketing strategy. My role provided a deep understanding of the vacation rental dynamics, enabling me to consistently deliver data informed marketing solutions aligned with business goals.Explored datasets collected from hosts listing platforms to determine marketing solutions, providing clear insights into customer behavior and creating a 30% improvement in online customer experience, positively impacting conversion rates.Conducted in-depth data preparation, cleaning, and structuring data using SQL to create datasets ready for mining, leading to increased accuracy in marketing strategy due to efficient data cleaning.Utilized advanced statistical models, including quantitative analysis in SQL, to assess the impact of marketing strategies, resulting in a 50% improvement of strategy execution.Showcased results with visualizations through dashboard creation using tools like Google Data Studio and Tableau, translating technical insights into a narrative for non-technical stakeholders.

As a e-commerce marketing data analyst my role is to study customer behavior and transactions, conducting a/b testing and experimentation of various strategies based on predictive modeling.Dive into customer data, identifying trends and preferences to inform personalized marketing strategies and improve website visitor retention , leading to an increase in 10.5k monthly visitors.Design and execute A/B tests to optimize various elements of the e-commerce platform, as a result of conducting statistical analysis in python using jupyter notebook with Shopify and social media datasets, leading to increased user engagement and 5k sales each quarter.Collaborated with the social media team to align content strategies based on data analysis, ensuring optimal performance and user satisfaction. demonstrating my ability to communicate and collaborate effectively to achieve common goals.Lead projects focused on enhancing customer personalization, utilizing data interpretations to tailor marketing messages and product recommendations. building out individual data visualizations that showcase data storytelling abilities.