Christopher Sabillon Email and Phone Number

• Played a significant role in developing a Marketing Dashboard, providing high-level insights on leads and enrollments across various segments, such as channel and campaign• Built queries used as the foundation of a Partner Dashboard, facilitating comprehensive insights into partner data including leads, enrollments, cancel rates, sales, and integrated Google Analytics data to assess the effectiveness of partner campaigns• Led a project aimed at closing the gaps in lead data by validating and testing new data against the original data source, ensuring data accuracy• Tested the accuracy and efficiency of SQL queries developed by team members, maintaining high standards of data gathering and analysis• Successfully led a POC with a third-party data provider, evaluating data quality and subsequently becoming the primary user of the shared data for relevant projects.• Worked on a project leveraging third-party data to create a report appending new contact info to customers from real estate channel set to expire to improve customer retention• Analyzed UTM data from diverse sources and generated detailed reports on first and return touch UTMs, improving attribution accuracy and optimizing campaign tracking• Conducted a comprehensive analysis to identify cross-selling and upselling opportunities for existing customers• Conducted in-depth analysis of claim data, creating a build of materials evaluating data fill rates and quality rates,identifying gaps, and recommending improvements to data gathering processes• Managed the creation of mail files and suppressions files for marketing campaigns, optimizing targeting and efficiencyto enhance campaign effectiveness

• Created, maintained, and updated dashboards through Power BI to support multiple teams (Marketing, Finance, Operations, etc.)• Created reports using Microsoft Report Builder and sent automated emails to stakeholders who view the reports on a daily basis• Maintained and updated views in SQL used by the BI & Analytics team• Worked on ad-hoc requests for the marketing team, creating reports through Excel or R Markdown• Used SQL to create customer segmentation lists for emails and uploaded them to Salesforce Marketing Cloud• Hands on experience and training with Salesforce CRM Analytics

• Review visual dashboards for performance issues, making changes or improvements as needed• Performing in-depth analysis and mining of customer insights with the objective of boosting business growth• Provide recommendations for campaign enhancements, audience targeting optimizations, revenue growth, and possible new business opportunities by leveraging data and analytics• Build data products for end-users with the objective of augmenting their day-to-day needs• Work with marketing business stakeholders to analyze A/B tests of marketing campaigns and design proper statistical experiments for A/B testing marketing treatments• Identify data tasks that can be optimized and automated• Document reporting logic, processes, data criteria and analytics workflows• Develop a relationship of communication and trust with business stakeholders• Develop data engineering pipelines for machine learning model builds• Build machine learning and statistical models to augment marketing initiatives such as propensity models, recommenders, anomaly detection, statistical forecasts, and automated insights• Develop in-depth understanding of underlying data, data structures, and business uses to ensure data marketing segments and visual reports meet business stakeholders needs• Support marketing campaigns by extracting customer database records based on model scores and or segmentation criteria

• Interpret data, analyze results using statistical techniques and draw sound business related conclusions• Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships and trends• Apply several forms of statistical (hypothesis testing, sampling, modeling, probability, time-series) and machine learning methods to describe, predict and optimize desired analytical objectives from business stakeholders• Explore new uses of the Life Extension data sets• Develop interactive visualizations to enhance decision making with programs such as R or Excel• Build data products for end-users with the objective of augmenting their day-to-day needs• Develop a relationship of communication and trust with business stakeholders• Manage the Machine Learning Operations and Data Development Operations for machine learning models, including meeting with IT/BI and creating BRDs for deployment, reporting on model evaluation metrics over time, maintaining models already built and deployed, updating documentation on models in production, and training business users on how to leverage the models

• Familiarized and developed understanding of marketing and data concepts• Worked on “Time ‘til Churn” predictive model that predicts when a customer will stop making purchases• Created a web application with R Shiny that gives an overview of marketing campaigns and forecasts sales for future campaigns using a conducted sales curve analysis• Created a web application with R Shiny that gives an interactive high level overview of data from Google Analytics, Google Search Console, and SEMrush• Provided hands-on support for ‘ad-hoc’ and scheduled requests for marketing KPI’s• Performed a linear regression and Pearson correlation analysis on direct mail’s impact to direct visits on Lifeextension.com and direct sales • Hands on experience and training with SQL, R Studio, Shell, HTML, and Alteryx

• Developed strong communication skills by aiding customers with any questions or concerns• Recognized potential challenging situations and consulted with the manager on duty, partnering to resolve any issue that may hinder customer satisfaction• Bagged groceries for customers and took the groceries to their cars• Stocked and blocked items for each aisle to showcase the products efficiently• Closed the store which includes using the floor machine, vacuuming, and stocking

• Tracked and organized employee information with Microsoft Excel to aid the senior human resources manager• Filed and organized papers and boxes for employee files to help facilitate finding employee information• Delivered mail and memos across different floors in the building to assist company employees