Make lists ranking movies and TV shows and assessing their qualityhttps://www.youtube.com/channel/UCXbtsIbtrYjwt_qPAB7TOKQ

Have taught classes in math, finance, stats, and operations at various CSU schools.

● Managed metadata for streaming platforms o Consolidated information for 1000s of titles for HBO Max via Domo for show standardization across multiple teams o Transferred data from dozens of products up to associated titles utilizing SQL queries and commands in Snowflake to create master data dictionary o Collaborated cross-departmentally for title uniformity across 50+ different regions o Backfilled titles for over 2250 codes missing the information utilizing data management cloud Reltio o Identified what titles are duplicates of others and investigate whether they should get merged via Python package Atom o Oversaw ETL for 100s of new titles to get incorporated into the database each week● Optimized customer satisfaction with SVOD services o Created up to 30 keywords per title to generate tailored recommendations, helping lead HBO Max to 92 million subscribers o Assembled templates for team to give synopses to all episodes of various series on Amazon

● Used SQL to clean up 10s of 1000s of lines of data illustrating viewership for all of cable network’s licensors● Designed Pivot Tables to showcase which licensor had provided the mostpopular programming and by what margin● Developed Tableau presentations making recommendations of futurelicensing deals

● Assembled PowerPoints and handled technical aspects of visuals for service.

● Developed KVCR research department singlehandedly and became responsible for up to12 weekly reports utilizing Google Analytics and Nielsen ratings software Arianna o Generated unique snapshot of top 10 weekly programs by household o Discovered means of adding ratings results by 1⁄4 hour o Innovated new consumer insights section of ratings reports, giving management clear grasp of our performance for decision-making● Discovered station’s brand through robust data analysis and got appropriate shows greenlit, leading to 1000s of views and ample retention o Wrote the most popular shows for the station based on streaming numbers, strengthening the brand in the process • Episode example https://video.empirenetwork.org/video/the-adventures-of- robin-hood-6szuld/

● Dissected revenue and expense values with tensors (matrices made to analyzemultidimensionally), providing division vivid picture of 180,000+ data points● Designed, with Visual Basic, original 90-piece dashboard giving managersinstantaneous knowledge of issues that previously required several days of research● Discovered errors/omissions among information for talent and correctedthem as Accounts Payable/Accounts Receivable needed

● Mastered Nielsen ratings software Wrap Sweeps/Wrap Overnight o Created decks and prepared daily ratings reports to aid in the sales & licensing of 20 programs for NBCUniversal Television Distribution● Developed ad hoc projects with Nielsen ratings software NPower o Compared retention of Meredith Viera in markets where Days of our Lives was the lead-in to that in remaining markets, informing decision to cancel show o Brainstormed NPower reports comparing ratings and retention of over 120 programs, showing full picture regarding The Blacklist● Utilized Grabix to track viewer engagement during commercial breaks of daytime talkshows – Steve Harvey, Steve Wilkos, Maury, and Jerry Springer o Aided in lucrative new deals worth 1,000,000s getting made for NBC● Maintained popularity of Access Hollywood among newsmagazines o Tracked social media followings of it and competing programs and determined causes of trends o Charted popularity of stories on Google Trends, reporting overall top 5