Triage and expedite urgent business requests revolving around the viewership performance of global content through expertly crafted queries within Snowflake data warehouse and Looker explores/ dashboards.Maintain and manage stakeholder relations from growth, content, and marketing teams by gathering business questions, developing them into executable analytics plans (ad-hoc data pulls, dashboards, presentations on findings), and providing robust solutions that generate impactful insights to better understand how consumers make entertainment choices.Frequently collaborate with data engineering and data science counterparts to manage the data ecosystem with up-to-date documentation, as well as deliver in-depth analysis on cross-functional projects.

Identifying Over-Performing Movie Theatres: https://github.com/xazsanch/Identifying-Over-Performing-US-Movie-Theaters-Utilized booking records from 2017-2019, along with movie metadata, to identify movie & theatre combinations more likely to gross above their average box office. Identified key segments for business to target on release.Predicting Movie Grosses: https://github.com/xazsanch/Predicting_Movie_Grosses-Utilized WB Film database of over 13,000 films spanning 2019 to 1939, with over 400 features-Created and applied Linear Regression, Lasso Regression, RandomForest, and GradientBoosting models to accurately predict a film’s final domestic gross given a set of numerical and categorical featuresRideshare User Churn Prediction: https://github.com/kaelynn-rose/Rideshare-Prediction.git- Trained and tested three supervised learning models: Logistic Regression, Random Forest Classifier, and Gradient Boosting Classifier in Scikit-Learn to predict rider retention rate- Optimized the best model using hyperparameter tuning to improve RecallBasketball-in-the-Bubble: https://github.com/xazsanch/Basketball-in-the-Bubble/tree/master- Investigated the statistics of the 2020 NBA Post Season that took place in an isolated environment, compared to the 2019-2020 Regular Season, and and the 2019 Post Season to identify any statistical significant events. - Used Pandas, NumPy, matplotlib Python packages.

Build interactive dashboards and easy-to-use visualization tools to assist division executives and team members in making strategic decisions across forecasting, sales, marketing, and collections teamsPresent with senior level stakeholders to deliver insights and metrics used to guide strategic decisions for the overall strategy and direction for the Domestic Distribution department.Extract, transform, and load internal application and box office data into Teradata data warehouse; analyze and query via SQL to provide end users with recurring dashboards and highlight key performance indicators to trackGather, consolidate, and analyze market data to develop reporting solutions on a project and ad-hoc basis to enhance and streamline greenlighting, film-dating, and accounts receivable process.Organize and monitor progress of feature enhancements and defects for internal-facing applications used for dating, greenlighting, and distributing motion pictures to over 4,000 movie theaters across North AmericaEstablish 7-Day Pay reporting dashboard with Collections team to monitor outstanding payers and collect over 97% of Pre-COVID 19 receivables, totaling over $2.25bn in Amount Due Maintain use case documentation detail system functionality and user processes, execute user acceptance testing, and collaborate with business users and developers to track deployment status for internal applications

Day-to-Day, managed internal property database by inputting, editing, and removing large sets of data for Southern California commercial real estate propertiesAnalyzed data and drew conclusions from market data to develop quarterly market trends and reports to be used for marketing and as sales toolsCollaborated with Catylist vendor to build business requirements and oversee transition from legacy system to our new database platform, from development to deployment to all associated members

Creator and Editor In Chief for Lifestyle and Food blog, Peer review content submitted by contributing authors covering all over Southern CaliforniaManage web design space and back-end servicesPromote social media and networking opportunities for followers, as well as contributors

Provide one-on-one IT support and troubleshooting services to over 40 clients and 1,000 users Manage user records on Active Directory, while maintaining up-to-date Acronis BackupsPerform routine office appointments with clientele to perform server maintenance and sustain face-to-face client relationships

Explore and investigate local San Diego stories relevant to student interestsShare and celebrate student/faculty achievements on campusCreate engaging and thought-provoking discussion among readers and peers

Report on daily stories and breaking-news from the latest in electronic dance music newsMaintained excellence in writing quality given the accelerated work load and increased demand for publication