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• Created 100+ Reports and Input schedules for FP&A teams in 5+ industries to evaluate variances between actual vs budget, LRP and multiple other planning categories. • Led 5 change management initiatives to train clients teams on how to use SAP BPC for planning and consolidations, with a special focus on month end closing activities and street reporting • Directed a financial transformation and implementation project for a Fortune 500 insulations company. Merged the planning and consolidations model, to enable FP&A teams worldwide to have real-time financial visibility. Project completed 1 month before expected• Created and maintained a complex and dynamic operating expenses model for a Fortune 500 Medical Devices manufacturer. The model simulated how 8 global business units and 5 geographical region P&L’s would change after $1.2 Billion and 7000 shared expenses were re-allocated, resulting in savings of millions of dollars in finance overhead costs and the simplification of the annual budgeting process• Assisted the Global Operations controller and the CFO of a major medical devices company to create and tie out a worldwide budget restatement, after the company restructured billions of overhead costs

The MAM is a worldwide unique program conformed by professionals who were granted their MBAs in any University that is part of the Global Network for Advanced Management. This program allows its participants to immerse deeply in any professional and scientific fields of their interest across all of the Yale Schools.With this much academic flexibility, an MAM is able to boost his / her managerial abilities and soft skills to a whole new level that involves not only the complete understanding of a business as a profit generator in the economy but a broad-minded professional that is able to create shared value to society and economic profits at the same time. Big companies around the world are making huge efforts to shift their business models towards a shared value culture, and MAM professionals are among the first and most qualified to lead those companies to achieve this goal successfully.

• Ideated the go-to-market strategy to sell in Mexico and managed all country’s operations, sales revenue reached $1MM in 2012• Led the transition and adoption of an integral IT system for all operations. The achievement automated 70% of processes and decreased human errors. Process standardization contributed to a 10% rise in overall sales ($23 MM a year) and resulted in an increase of average net revenue by 12% • Restructured the organizational hierarchy, eliminating silos between finance, operations, and sales departments. Changes resulted in increased cooperation and cross-functional team collaboration. Effectiveness ratio and revenue per employee metrics improved by more than 15%, and reduced SG&A expenses by $150,000 per year

• Relied in and developed revenue management techniques to price more than 190 company products in the highly competitive consumer plastics market, increasing profits per product between 4% – 25% in all cases• Trained three cross-functional teams to adopt a data driven working practice, and motivated front-line workers to take ownership in their work, resulting in an increased plant capacity utilization from 83 to 90% and a reduction of back orders from 3.5% down to 0.5% of salesBuilt and collaborated with a design and innovation team that successfully introduced 15+ new products to the Central American, Caribbean and South American markets which increased the product lines profitability between 5% to 25% in a per case basis

The Market Intelligence Analyst position has as main responsibilities to identify potential students across Mexico that are an excellent fit for ITESM. To achieve this, the market intelligence analyst relies on information generated by the Public Education Ministry (SEP). As a market intelligence analyst my main duties were:-Analyze and extract relevant variables from the SEP database-Use business analytics and big data knowledge to process information and generate relevant information for the private education industry- Combine economic theory with statistical data to forecast future student demand for all careers offered by the institution- Generate indexes that help categorize students by important clusters for admissions purposes- Find unknown variables that have significant statistical impact for a student to decide whether or not to apply to ITESM for an undergrad program