• Lead Data Science, Data Engineering, Analytics, Business Intelligence, Enterprise Resource Planning, and Software Development divisions• Developed a centralized data lake with a robust ETL system that has sped up time to action by 7 days on average• Designed new industrial systems data flow that reduced costs by $71K• Oversaw a redesign of the data architecture and governance for an estimated $300K in savings for 2023• Evaluate and assist in the development of machine learning algorithms• Align with cross-function and executive leaders to create roadmap initiatives• Train team members across the organization on how to create meaningful technical presentations for non-technical leaders• Stood up key software platforms for cross-function use including Databricks, PowerBI, React, and Azure (Data Factory and Function Apps) and provided training to facilitate platform adoption• Serve as a strategy leader managing objectives and key performance indicators over four cross-function teams • Create Standard Operating Procedures (SOPs), communication guidelines, and program management practices• Oversee development and implementation of deep neural network computer vision models to extract height, yield predictions, disease, and insect pests from RGB and thermal cameras• Review code as part of an agile development workflow. For example, reviewed a predictive model to reduce large variances in sales predictions and demand planning supply • Mentor and coach people in both my team and cross-functional teams• Lead vendor negotiations and selection oversight for new contracts

- Execute product-driven Data Science roadmap, and work with cross-function leaders to drive data driven decisions- Create / Lead / Mentor a team of Data Engineers / Data Scientist / Analysts - Provide subject-matter expertise to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data- Leads development and implementations of solutions to extract, consolidate and analyze complex information to generate key insights- Communicate data driven results to various levels of the organization with differentiating technical backgrounds- Building machine learning models through all phases of development including: designing, training, evaluation, validation and implementation- Representing data science by managing and collaborating across cross-functional technology and data initiatives - Establishing rules of engagement and processes to manage data and analytic requests, prioritize them effectively, and deliver within committed timeframes

I am responsible for reporting, analyzing, forecasting, modeling and regulating the financial wellbeing for the organization as a whole. My primary role is to give the executive team the information that they need in order to make rational, sound decisions for optimal performance. In this role, I created a new analytics team, developed KPI’s, and incorporated new technologies to increase efficiencies and predictive analysis with Python and R. I manage a team that regulates all aspects of the company’s financials, analyzing operation of every department, compiling various modeling reports, and clearly communicating business messages through various platforms. Since joining this organization, I have also been the lead on multiple complex projects including creating a rebrand strategy, developing a new website, creating a TV/video department for connected TV, and restructuring and developing commission structures.• Create and manage a team of professionals that use analytical tools such as Python, R and Tableau. With continuous development, training and communication daily. • Developing machine learning techniques for predictions of internet article performance.• Helped executive team make informed decisions to go from below industry benchmark in performance to far exceeding industry performance in less than 2 years from the incorporation of the analytics team. • Audit and analyze Profit & Loss / Balance Sheet reports for irregularities and opportunities on a monthly basis and report findings to the president, chief financial officer, and executive team. • Model, analyze and report financial and operational Key Performance Indicators (KPI’s) for every department and recommend decisions based on trends, deviations and opportunities.• Carry out project management for the implementation, of new financial system (SBS) and analytical tool (Tableau) to optimize the valuable information given between 12 different software systems.

As an Analyst II my primary responsibility was to determine the monthly gas cost for the state of Arizona and to ensure that any and all changes met the regulatory standards set by the A.C.C. In order to follow a strict and precise procedure there was no opportunities for modeling, automation, or financial analysis. I regularly completed this task ahead of schedule, leading my supervisor to have me assist various other departments.

During my experience as a Senior Business Analyst I was part of an integral analytics team that ran all aspects of statistics for the company as a whole. The team that I was directly responsible for did a wide variety of analytics for the following sectors: Cirque, Hotel, Food and Beverage, and Retail. I reported directly to the Director of Hospitality Analytics and provided key reports through various sources of communication that would lead directly to key business decisions. I worked on multiple tasks for complex projects and their various subprojects at the same time to achieve the organization’s commitments and goals.• Perform confidential unbiased financial analysis to support the organization with the decision-making process on a monthly basis to Vice Presidents and Directors over my areas of responsibility.• Manage across 9 departments in 7 states during the development of the organization’s Project Growth Plan• Provide weekly operational business analysis, profit improvement initiatives, strategic plan and competitive intelligence analysis through presentations, dynamic and automated modeling, analysis packets and meetings.• Lead a 7 member team to analyze how the organization could establish an addition $110M in Earnings Before Interest Taxes, Depreciation Amortization (EBITDA) within a 1-year period as part of an effort to increase EBITDA by $300M over the same period as committed to company shareholders by MGM’s CEO. Our team’s portion of the project was completed ahead of schedule in September 2015.• Conduct budgeting, forecasting, planning, re-evaluating, reporting, and project implementations. • Evaluate projects through their full lifecycle to asses performance and accomplishments.• Create new models and reports with a breakdown of trends, and unbiased reasoning in order to ensure that decisions would be made to successfully deliver on the business agenda.

At Albertsons, I had the opportunity to work in various roles. I participated in 4 grand openings, managed multiple departments, and developed my analytical skills. During a merger I got firsthand experience in financial integration of two companies. As a Financial Analyst I & II, I completed the following:• Associate breakdown by units, average dollar sales, and average unit price. • Develop Profit & Loss reports by store and by department for management with unbiased analysis. • Create and implement various productivity tools and models, and store performance analysis.• Conduct annual budgeting and forecasting by store, and by department. • Perform product profitability with space allocations and performance analysis.