● Lead backend development of automated reporting by using SQL and APIs for client data transfer through SFTP, GCS, and AWS S3 supporting visualization tools, campaign analytics, and impression-level data● Provide expertise in technical solutions, feasibility, education, and post-sales support/troubleshooting for our Advanced Reporting Suite and Data Platform clients● Develop and maintain expert knowledge of Viant’s measurement and data product capabilities in Tableau and Data Platform/Google BigQuery for client needs and business objectives● Help drive the evolution of the platform by gathering consistent client feedback and through close collaboration with Sales Engineers and Product team● Continually develop and project manage Machine Learning Predictive Audience Segments

● Create internal automation tool that utilizes machine learning and logistic regression to create custom audience segmentsvisualization tools, campaign analytics, and impression-level data● Construct and update Tableau dashboards outlining KPIs, In-Demo delivery, and ROAS for internal teams and clients● Develop automation tools shaped by custom requests to streamline processes and provide actionable insights on competitive metrics utilizing an internal SQL-based workflow management system, Python, and JavaScript● Build trigger systems and data pipelines to properly ingest client data into Google BigQuery● Update our DSP (Demand-Side Platform) using both API calls and SQL-based workflow

● Achieved the highest performing senior project and invited to enter the HICSS-54 conference● Utilized advanced machine learning methods and data analytics to empower the understanding of consumer sentiments around COVID-19’s impact of Los Angeles restaurants on Yelp● Implemented methods of web scraping to extract current data to support our findings within our analysis● Joined two JSON datasets within Jupyter notebook consisting of 8 million records and 200,000 records● TFIDF, Logistic Regression (90% accuracy) model for predicting customer sentiments, Latent Semantic Analysis (LSA)● Collaborated with our Professor through project meetings to submit research to the HICSS-54 conference for publication

● Resolved product or service problems by understanding customer’s request, determining the problem, resolving with the best solution, and answering service questions by email and phone● Maintained replacement parts orders by updating warranty and special orders list while contacting vendors for necessary parts● Collaborated with technical service manager to ensure proper customer service is being delivered

• Managed customer and supplier data using relational database systems while ensure data consistency of 9,800 records• Administered technical support and troubleshooting solutions across the campus with hardware and application software of over 250 customers among faculty, departments, and students• Worked with campus departments to efficiently procure devices for campus classrooms while providing consulting services

• Supported managers with organizing the store • Helped customers by answering questions and locating merchandise. • Initiated friendly conversation with each customer to determine level of assistance required. • Maintained a friendly, outgoing personality to promote a positive work environment and satisfy customer needs.

• Entered customer information into the system and ensured that the proper information has been entered by reading back information to the customer. • Assisted the food preparation staff in preparing, packing and checking food items. • Worked overtime shifts during busy periods.