Consumer Behavior Analysis and Engagement System

As a Senior Data Engineer, I led the development of a Consumer Behavior Analysis and Engagement System for a Silicon Valley company. This system provided deep insights into consumer behavior and enhanced user engagement through advanced tracking and analytics.

Languages & Tools: Python, SQL, NoSQL, Apache Airflow, Snowflake, GitHub, Docker, Docker Compose, Bash, Sigma, Data analysis, User-centered design, Tableau, Data visualization

The project focused on creating a deep-dive analytics system for consumer behavior to track and optimize the user journey. This system provided actionable insights, allowing precise tracking of unique devices and their interactions, and was essential in managing vast volumes of consumer data, thereby enhancing operational efficiency and customer engagement.

Leadership: Led user engagement initiatives, employing user journey mapping and consumer funnel optimizations, resulting in an 18% increase in user engagement.

Optimization: Built a system for advanced analytics, enabling precise tracking of unique devices and their associations with users and events collected by Segment and other third-party tools.

Automation: Improved recognition techniques, significantly improving the accuracy of user tracking and identification.

Visualization: Developed dashboards in Sigma and Tableau for visualizing core consumer funnels, enhancing data accessibility and decision-making processes.

Collaboration: Collaborated with marketing, IT, and data science teams to align user engagement strategies with overall business goals.

Adaptability: Continuously monitored and refined tracking methodologies to adapt to evolving user behavior and technological advancements.