Rodrigo Perusquía Flores

Rodrigo Perusquía Flores

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Mexico City, Mexico

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Résumé

Jobs verified_user 0% verified
  • Sun King
    Business Development Manager Leader LATAM
    Sun King
    Sep 2023 - Current (3 years 1 month)
    Solar Energy Global Leader.

    • Spearheaded $100+ M in annual energy access sales projects across 12 LATAM countries by driving growth through strategic account management and fostering collaborative strategic partnerships with distributors, retailers, governments, and development banks in the Solar Energy sector.
    • Expanded a regional pipeline to 3,000 leads across LATAM by leveraging networking, LinkedIn Sales Navigator integrated with CRM, WhatsApp, web scraping, and AI-powered tools for lead generation, converting 90 into high-impact deals through effective selling techniques.
    • Led a cross-cultural remote team across Asia, Africa, LATAM, and Europe, coordinating efforts across diverse departments to align with corpor
  • X
    Business Development Manager LATAM
    XLPRINT LLC
    Jan 2010 - Oct 2023 (13 years 10 months)
    • Expanded LATAM operations by onboarding 4 new Value-Added Distributors (VADs) and managing a network of 300 Value-Added Resellers (VARs), driving regional growth in the IT communications software market.
    • Secured top-tier financial institutions as clients across LATAM, driving market penetration and positioning the company as a leader in variable communications solutions.
    • Organized regional roadshows and conferences to boost brand visibility, strengthen client relationships, and generate new business opportunities in key LATAM markets.
  • X
    BUSINESS ANALYST LATAM
    XLPrint
    Jan 2010 - Jan 2016 (6 years 1 month)
    • Conducted Return on Investment (ROI) and Total Cost of Ownership (TCO) analyses to drive data-driven decision-making, successfully advocating for the adoption of an innovative software solution that enabled LATAM's largest manufacturing company to improve operational efficiency, optimize logistics, and enhance customer retention.
    • Built and scaled a CRM system, transitioning from Odoo to Salesforce, while aligning with Key Performance Indicators (KPIs) such as client retention and revenue growth, and Objectives and Key Results (OKRs) focused on customer engagement and pipeline optimization.
    • Led the localization of software and marketing assets for LATAM, integrating cultural nuances and customer preferences to enhance use
  • ELIXIR TECHNOLOGIES
    Presales Analyst LATAM
    ELIXIR TECHNOLOGIES
    Feb 2005 - Jan 2010 (5 years)
    • Established strategic partnerships with global leaders like IBM, Xerox, Océ, Ricoh, Konica, and Sharp, integrating Elixir Technologies’ solutions into their portfolios and expanding market reach across LATAM.
    • Explained the benefits of SaaS solutions to LATAM clients, showcasing scalability, cost efficiency, and improved workflow management, successfully acquiring major clients such as RR Donnelley and Total Systems.
    • Delivered technical sales presentations, conducted tailored training sessions, and customized proposals to ensure seamless implementation, driving customer and partners satisfaction and retention.
  • S
    Sales Agent LATAM
    Sanco Systems LLC
    Jan 2003 - Jan 2006 (3 years 1 month)
    • Used Excel with Visual Basic to analyze sales data and optimize distribution strategies, establishing a network of over 30 VARs through two VADs.
    • Directed sales operations focused on market adaptation and relationship-building within LATAM.
Education verified_user 0% verified
  • The Wharton School
    Programme, Strategic Management
    The Wharton School
    Aug 2024 - Feb 2025 (7 months)
    Skills: Strategic Leadership · Sales Processes · Business Strategy · Sales · Strategic Partnerships · Sales Targets
  • Massachusetts Institute of Technology
    Master of Science - MS, Statistics and Data Science
    Massachusetts Institute of Technology
    Feb 2022 - Dec 2024 (2 years 11 months)
    MicroMaster in Statistics and Data Science at the Massachusetts Institute of Technology (MIT), focusing on advanced skills in data science, machine learning, and artificial intelligence (AI). Developed expertise in big data analytics, predictive modeling, and statistical analysis, applying these skills to real-world scenarios such as financial markets and business strategy. Gained proficiency in Python and R programming, deep learning techniques, and data visualization, enhancing my ability to drive data-driven decision-making and strategic planning.
  • University of Exeter
    MSc Financial Technology, Finance, General
    University of Exeter
    Jan 2021 - Jan 2022 (1 year 1 month)
    MSc in Financial Technology (FinTech) at the University of Exeter focused on AI, machine learning, blockchain, and cryptocurrency markets. Gained skills in DeFi, digital assets, and using AI for market prediction and risk management.
  • Universidad Del Valle de Atemajac
    Licenciatura, International Business
    Universidad Del Valle de Atemajac
    Sep 2012 - Sep 2016 (4 years 1 month)
    Skills: Sales Processes · New Market Expansion · Business Negotiation · Networking · Market Research Analysis · Go-to-Market Strategy · Marketing Strategy · Sales · Latin America (LATAM) Market Expansion. · Business Development · Strategic Partnerships · Sales Targets · Global Policy
  • Escuela Bancaria y Comercial
    Diploma, Importation and Exportation Strategies
    Escuela Bancaria y Comercial
    Sep 2011 - Dec 2011 (4 months)
    Skills: Sales · Latin America (LATAM) Market Expansion.
  • Universidad Del Valle de Atemajac
    Licenciatura, Business Administration
    Universidad Del Valle de Atemajac
    Sep 2002 - Sep 2006 (4 years 1 month)
    Skills: Sales Strategy · Sales Processes · Business Negotiation · Networking · Market Research Analysis · Go-to-Market Strategy · Marketing Strategy · Project Management · Sales · Business Planning · Business Development · Leadership · Sales Targets · Customer Acquisition
Projects (professional or personal) verified_user 0% verified
  • A
    Application of Machine Learning Using Elastic Net Neural Networks to Predict Unsustainable Prices Based on Minsky's Fram
    Jul 2021 - Jan 2022 (7 months)
    This thesis investigates the use of Machine Learning (ML) to detect patterns in a large historical dataset based on Ray Dalio’s interpretation of Hyman Minsky’s Financial Instability Hypothesis (FIH). The project utilizes an Elastic Net neural network, chosen for its ability to handle high-dimensional data and multicollinearity, making it effective in capturing interdependencies between Dalio’s proprietary measures and Minsky's framework. The model aims to predict when prices in the S&P 500 index reach an unsustainable regime. The results of this analysis are presented through a prototype app built in Android Studio, with a user interface designed in Figma. While the prototype focuses on the American economy and the S&P 500 index, the appli