In my role, I work as a bridge between machine learning development and marketing execution & strategy, with the goal of building and applying our machine learning models in the most effective way to provide maximum value to prospective customers and drive business growth across Adobes entire portfolio of digital media products. My main areas of focus are user segmentation and long-term value prediction.► On the development side, I partner closely with data science and ML teams to ensure that models are built with the correct business context and assumptions, to maximize model performance and the value of the model in business applications.► On the execution and strategy side, I work closely with teams spanning practices like campaign strategy, media, go-to-market, and testing+personalization to understand how their business needs can be addressed using machine learning solutions, oversee the application of these solutions into business use cases and ensure the models are leveraged to their fullest potential to drive growth for the business.

During my internship at Adobe I executed the full implementation life cycle of a user segmentation machine learning project to deliver actionable insights to stakeholders and drive meaningful impact towards my organizations analytics practices: ► Built an end-to-end machine learning solution to segment Adobe Express users into distinct user personas, opening up possibilities for novel user experience personalization applications.► Executed the implementation of the solution from the ground-up, performing data engineering with Hive and SQL, and feature engineering, model implementation/evaluation, and model productionalization with Python.► Leveraged data storytelling and presentation skills to effectively present key insights and meaningful applications to business stakeholders and senior leadership.

At KQED I introduced new, transformative, capabilities to the organization by automating routine, mundane analytics reporting tasks:► Leveraged Python for data cleaning and manipulation to automate TV station prime-time schedule and rating reporting, reducing manual labor in data aggregation and analysis from 6 hours per week to less than 1 hour.► Utilized Google Data Studio to build detailed dashboards from scratch that detailed health and performance of products, creating a highly interactive view of key audience intelligence KPIs while also increasing workload efficiency significantly.► Gained valuable experience in all parts of launching a product/internal service, including outlining/planning, building/developing, dealing with setbacks, building creative solutions, seeking and implementing feedback, and maintaining the service whenever new bugs arose.► Mentored younger intern and advised manager in Python scripting, assisting in debugging and writing detailed technical documentation for continued guidance to any new users of the Python scripts.

► Provided technical input and process improvement recommendations into the systems implemented for calculating attrition rates and presenting staffing data analytics to senior management; tasked with the overall goal of increasing organization and workflow efficiency.► Performed research and development data analysis in Excel/VBA for the Advanced Technology Development Center.

As an intern for the Mobility and Internet of Things team, I served many key roles throughout my internship:► Completed extensive research and published an article on company website about Mobility-as-a-Service explaining what it is as a concept and how close society is to making it a reality (see attached).► Bridged the gap between automotive manufacturer clients and data science by creating a flow-chart advising them on where to get data and what to do with it.► Aggregated interview responses from 15 one hour interview, organized data into an appendix, and analyzed data to gain actionable insights.► Managed department’s LinkedIn page, focusing on finding relevant content to give our audience insights into new technologies and events to drive our platform forward; increased follower count by 17%.► Utilized PowerPoint and Keynote to help build presentations about new company initiatives.► Worked as event support focusing on registration and attendee assistance.► Did substantial research on smart cities, urbanization, and mobility-as-a-service.

I worked in a team environment which let me build professional and personal relationships with coworkers.Additionally, I refined my customer service skills by helping customers with their orders or questions.