Daniel Hernandez Email and Phone Number
Data professional with expertise in scalable data architectures, efficient pipelines, and machine learning solutions. Skilled at turning complex data into actionable insights, with experience across Manufacturing, IT, Sales, Finance, and HR. A natural leader who drives collaboration, solves challenges, and fosters innovation in dynamic environments.
The Hershey Company
View- Website:
- thehersheycompany.com
- Employees:
- 10895
-
The Hershey CompanyMonterrey, N.L., Mx -
Data EngineerThe Hershey Company Jan 2023 - PresentHershey, Pennsylvania, UsObject-Oriented Programming & Real-Time Analytics: Engineered code to collect, analyze, and visualize data from PLCs, Ignition Servers, and SIMATIC systems. Utilized SQL and Python to streamline production data and deliver real-time insights through AVEVA PI SMT & PI Vision, enhancing decision-making and operational efficiency.Data-Driven Dashboards: Built Power BI dashboards for actionable insights, supporting strategic decisions.Advanced Analytics Implementation: Integrated machine learning models into manufacturing workflows to boost efficiency.Data Security & Compliance: Designed secure data architectures, ensuring process integrity and compliance.ERP Governance: Optimized SAP S/4HANA and Datasphere for governance, security, and insights. Certified Super User.Digital Transformation Leadership: Built a unified data platform, integrating diverse sources for a comprehensive operational view.System Optimization: Improved on-site systems for sustained high performance. -
Bi & Advanced Analytics Sr CoordinatorPepsico Oct 2021 - Jan 2023Purchase, New York, UsData-Driven Strategies: Delivered insights across channels using BI tools, enabling tailored solutions for Category Management and SaaS teams.Forecasting & Visualization: Developed forecasting models and automated reports using Python, R, and Power BI, streamlining data analysis and providing real-time insights for the Demand Accelerator team.Geo-Analytics & Market Optimization: Leveraged geolocation and national datasets (e.g., INEGI) to identify optimal product placement, adjust pricing, and refine portfolio strategies based on consumer trends.Product Growth: Applied data-driven planogramming, pricing, and weight strategies, boosting market share and category performance.Cross-Functional Leadership: Unified teams by translating complex data into clear, actionable insights, aligning business goals with data solutions. -
Business Intelligence ArchitectCognizant Aug 2020 - Oct 2021Teaneck, New Jersey, UsData Architecture & Optimization: Designed and optimized data structures and systems to streamline processes and improve efficiency.Business Impact: Identified revenue opportunities and ensured BI solutions aligned with business objectives, staying within budgets and timelines.Cloud Migration Leadership: Led the transition to a cloud-based BI environment, enhancing scalability and performance.Data Security & Compliance: Implemented robust security measures, ensuring data privacy and regulatory compliance.Cross-Functional Collaboration: Managed project communications and fostered strong organizational relationships to drive successful BI initiatives. -
Business Operations & Process ImprovementIntel Corporation Feb 2019 - Jul 2020Santa Clara, California, UsData Modeling & Financial Optimization: Developed data models to monitor financial performance, improving profitability through revenue forecasting, budget management, and asset allocation.Process Improvement & Automation: Enhanced operational efficiency by automating workflows and optimizing processes across financial operations.KPI Development & Reporting: Designed and implemented KPIs and executive dashboards, providing actionable insights to drive strategic decisions.Cross-Division Standardization: Streamlined and standardized solutions across divisions, ensuring consistency and scalability of process improvements.Strategic Problem Solving: Leveraged data analysis to address business challenges, crafting strategies that enhanced operational performance and ensured measurable impact. -
Financial AnalystInfonavit Mar 2017 - Apr 2018MxDeveloped decision-making models and generated monthly reports highlighting key metrics and comparing financial results to forecasts. Identified areas for performance improvement, analyzed financial data, and provided governance solutions. Managed resource allocation, designed campaigns, supervised credit payments, conducted trend analysis, automated processes, and created financial forecasts. -
Finance OperationsGobierno De México May 2015 - Oct 2016Supervised the administration of both payables and receivables, setting financial goals, enhancing operational efficiency, and utilizing data analysis to identify discrepancies and instances of tax evasion. Implemented a variety of projects and initiatives in Mexico City, ensuring effective coordination of activities and continuous monitoring of project objectives and progress.
Daniel Hernandez Education Details
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Tecnológico De MonterreyComputer Engineering -
Universidad Latinoamericana, S.C.Computer Systems Networking And Telecommunications Engineering -
Universidad Del Valle De MéxicoCivil Engineering
Frequently Asked Questions about Daniel Hernandez
What company does Daniel Hernandez work for?
Daniel Hernandez works for The Hershey Company
What is Daniel Hernandez's role at the current company?
Daniel Hernandez's current role is Data Engineering | Data Architecture | Data Science | BI Expert.
What schools did Daniel Hernandez attend?
Daniel Hernandez attended Tecnológico De Monterrey, Universidad Latinoamericana, S.c., Universidad Del Valle De México.
Who are Daniel Hernandez's colleagues?
Daniel Hernandez's colleagues are Cesar Rodríguez Torres, Stormy Coleman, Dennis C. Decicco, Mba, Sarah Lina, Thomas Smolinski, Kenneth Weigle, Drew Holmes.
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