Randy Diaz

I Marketing Technology!

Toast, Inc

(Present)

Design, develop, and test front end single page applications that are used to gather sensitive and useful information about customers in a secure manner in order to automate and improve restaurant success. This is measured by a 241% increase in success rate of business information setup pages. In order to achieve this product success, I communicated with product managers, design, and other stakeholders in order to aid in the entire product development lifecycle.
Develop rest api endpoints, distributed event systems, aws dynamodb table/entities, and deploy into production those back end services. These services continue to succeed in meeting SLA with no incidents.
Developed Javascript graphql mutations, queries and deployed into production BFF systems with caching and 3rd party api integrations. In addition, solved created cache's memory leak that decreased aws costs by 60% in that BFF.

Publicis Groupe

(2022)

Trained, cross-validated, and executed 512 gradient boosting models in under 7 days.
Developed micro-service rest apis and web UI to improve ab testing systems with hypothesis testing and multivariate testing tools.
Coordinated and Designed CRM and Email marketing strategies for clients including Mondelez, Marriott and Belcorp resulting in 60% customer acquisition costs and reduction of errors by 92% on monthly reporting systems.

Publicis Groupe

(Aug 2019) - (2020)

Created text classification models with fasttext and sklearn gradient boosting algorithms to create customer journey funnels for various clients. This allowed us to create Integrated Marketing Campaigns that increased sales by 16% by focusing on either informing consumers about products that had little awareness of the product or give discounts and valuable value propositions to people considering the product. We saved thousands of dollars by not advertising to cohorts that were already enjoying our client's products.
Automated enterprise reporting processing by connecting ETL pipelines across the finance and operations departments with a flask api solution to save 85% of labor costs required to reconcile advertisement data exhaust. In these ETL Pipelines we forecasted costs by using the Decomposable Time Series Model in the Facebook Prophet Library. Which takes trends, seasonalities, and holidays into consideration to predict the future costs of advertisements.
Developed an automated ETL pipeline to track and reduce over 600,000 dollars of Paid TV Advertising spots per year. Transforming a 2 week manual data manipulation process into an automated daily update of the data. Reducing labor costs by 93%.

Data Targeting inc.

2016-2018

Applied classification and regression machine learning models to predict categorical and quantitative variables for increased accuracy in targeting.

Cleaned data, web crawled, and automated feature engineering for on demand consulting assignments to increase turnaround speed by 12.9%.

Created tables and complex queries to target specific segments for mail, phone, digital, and radio broadcast campaigns.

Developed and Automated ETL Pipelines, Rmarkdown Reports, and live online dashboards.

Freelance

2016-2017

Researched fundamental and technical company data to develop algorithmic investment strategies through the Quantopian platform.

Scheduled the uploading of the S&P 500 company's data by using Pickle and Pyautogui to automate the daily computation and transfer of data to a main spreadsheet.

Developed an algorithm that uses cross-sectional supply and demand relationships to predict future success of company revenue and profits.

Designed multiple applied machine learning projects with techniques such as: Support Vector Machines, Bayesian Updating and Gradient Descent.

Logistics Coordinator

2014-2015

Communicated with 182 International Agencies and offices on a day to day basis to increase operational efficiency.

Managed Client Database and table relationships to find YoY trends and causality analysis.

Cleaned and analyzed the data for use in operations and financial analysis. Coordinated shipments with up to three legs and complex routing assignments.

Warehouse Manager

2011-2013

Created pivot tables and macros for monthly inventory reports and demand analysis.

Bachelors of Arts: Economics
Minor: Actuarial Science