Jean Carlos Rivera

Jean Carlos Rivera Email and Phone Number

Principal - Data and Analytics @ Slalom
New York, NY, US
Jean Carlos Rivera's Location
New York, New York, United States, United States
Jean Carlos Rivera's Contact Details

Jean Carlos Rivera personal email

n/a
About Jean Carlos Rivera

Jean Carlos Rivera is a Principal - Data and Analytics at Slalom. They possess expertise in team building, consulting, suppliers, vendors, location and 245 more skills. They is proficient in English.

Jean Carlos Rivera's Current Company Details
Slalom

Slalom

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Principal - Data and Analytics
New York, NY, US
Website:
slalom.com
Employees:
9631
Jean Carlos Rivera Work Experience Details
  • Slalom
    Principal - Data And Analytics
    Slalom
    New York, Ny, Us
  • Slalom
    Slalom
    New York, Ny, Us
  • Slalom
    Senior Consultant
    Slalom Jan 2023 - Present
    Seattle, Wa, Us
  • Slalom
    Data Visualization And Analytics Consultant
    Slalom May 2021 - Feb 2023
    Seattle, Wa, Us
  • Nyc Mayor'S Office Of Immigrant Affairs
    Business Intelligence (Bi) / Data Engineer
    Nyc Mayor'S Office Of Immigrant Affairs Sep 2018 - May 2021
    New York, Ny, Us
  • Nyc Mayor'S Office Of Immigrant Affairs
    Technical Business Analyst Ii
    Nyc Mayor'S Office Of Immigrant Affairs May 2017 - Sep 2018
    New York, Ny, Us
  • Diasporaxpuertorico
    Co-Founder
    Diasporaxpuertorico Oct 2017 - Apr 2021
    New York, Ny, Us
  • Hunter College
    Business Intelligence Engineer
    Hunter College Jan 2017 - Sep 2018
    New York, Ny, Us
  • Doob Usa
    Data Engineer
    Doob Usa Mar 2016 - Apr 2017
  • Inria
    Data Analyst Intern
    Inria Jul 2014 - Aug 2014
    Le Chesnay Cedex, France, Fr
    Project Title: Design and Validation of Fuzzy Logic Systems for Autonomous Vehicles using RTMaps and SimulinkAbstract: This paper describes a fuzzy logic system for autonomous vehicles in the Intelligent Transportation Systems (ITS) field. This project focuses on the improvement and validation of a fuzzy logic library designed in C++, using RTMaps as a development platform. Comparisons between RTMaps and Simulink fuzzy logic models were considered to design and validate five types of membership functions -Bell, Gaussian, PI, Trapezoidal, and Triangular-. The implementation of this library was conducted in simulations and real platforms. The results promise good behavior of the fuzzy logic system for its future implementation in real urban scenarios in the framework of the European project CityMobil2.Presentation: August 2014: Ana G. Mendez University System Symposium 2014, San Juan, Puerto Rico
  • Cc1 Industries, Llc (The Coca-Cola Company)
    Engineering Capstone Design Project
    Cc1 Industries, Llc (The Coca-Cola Company) Jan 2014 - May 2014
    Project Title: Re-design of Wastewater Treatment Plant Operational and Quality Parameters
  • Amgen
    Supply Chain Undergrad Coop
    Amgen Sep 2013 - Dec 2013
    Thousand Oaks, Ca, Us
  • Instituto De Astrofísica De Andalucía (Iaa-Csic)
    Data Engineering Intern
    Instituto De Astrofísica De Andalucía (Iaa-Csic) Jun 2013 - Aug 2013
    Granada, Granada, Es
  • Medtronic
    Supply Chain And Logistic Undergrad Co-Op
    Medtronic Aug 2012 - May 2013
    Minneapolis, Mn, Us
  • Universidad Del Turabo
    Researcher
    Universidad Del Turabo Jan 2012 - Dec 2012
    Research Title: Comparison of service reliability metrics on vulnerable stochastic networks.Puplished at the Proceedings of the 2013 Industrial and Systems Engineering Research Conference A. Krishnamurthy and W.K.V. Chan, eds.Abstract: This paper introduces a new service reliability metric based on service survivability when network components are vulnerable to disruptions. The network service reliability, i.e., its capability of providing service when requested, could be affected by intentional or natural disasters such as earthquakes, storms, terrorist attacks, etc. The proposed metric, termed mean network survivability, is an improvement over the existing reliability efficiency metric because it takes into consideration that nodes may have different service demands and edges may have different operational probabilities. Additionally, to calculate mean network survivability, the authors propose the use of an approximation to the real value of two-terminal reliability that is more accurate than other approximations that use either the most reliable route or lower bounds based on minimal paths, especially when edge operational probabilities are different. The proposed metric is important in characterizing the performance of a network and allows comparison among different topologies. Examples that illustrate the use of the proposed metric and compare it with other service reliability metrics are presented.Research Presentation: •May 2013: Institute of Industrial Engineers (IIE) Annual Conference and Expo 2013•April 2013: XI Encuentro de Investigadores, Gurabo, Puerto Rico
  • Universidad Del Turabo
    Data Analyst
    Universidad Del Turabo Jan 2012 - Mar 2012
    - Established a factorial analysis of kicking leg, kicking type, and kicking angle on the football player’s accuracy during direct free kicks, in order to determine the most viable player, kicking leg, and kicking techniques to score a goal when a direct free kick occurs during a match. - According to the head football coach from Universidad del Turabo , the experimental results and recommendations where favorable to his decision making process of selecting the player and kick technique to execute free kicks during the matches of the next college football season during the Liga Atlética Interuniversitaria (LAI) of Puerto Rico 2012-2013.Research Title: Factorial analysis of kicking leg, kicking type, and kicking angle on the soccer player’s accuracy during direct free kicks.Research Presentation:•September 2012: CLAIO/SBPO 2012, Rio de Janeiro, Brazil•September 2012: Ana G. Mendez University System Symposium 2012, San Juan, Puerto Rico
  • Nasa
    Engineering Intern
    Nasa Jun 2012 - Aug 2012
    Washington, Dc, Us
  • National Center For Atmospheric Research
    Engineering Intern
    National Center For Atmospheric Research Jun 2011 - Aug 2011
    Boulder, Colorado, Us
    Research Title: Engineering challenges associated with installing surface-based weather instrumentation in remote, mountainous terrain.Abstract: Climate change can have a significant impact on winter precipitation processes, particularly in mountainous regions. Changes to the snowpack and runoff can have serious consequences to the communities downstream that rely on them for their water supply. Climate models are being used to simulate the effects of climate change on the snowpack and runoff over the Rocky Mountain region in western Colorado, but verification of those models is required before results can be trusted. In order to verify the models, accurate surface measurements of temperature, wind speed and direction, pressure, solar radiation and liquid equivalent precipitation must be taken at various points within the model domain. This research project focused on the construction of three instrumentation setups using ETI precipitation gauges (referred to as ETI19, ETI20, and ETI21). The setup included mechanical and electrical engineering tasks as well as programming required for each instrument component. Each setup was tested at NCAR and will ultimately be moved to the Fraser Experimental Forest where they will be used to help with the model verification. A detailed description of the setup will be provided along with a discussion of the engineering challenges faced to prepare each gauge for eventual installation in mountainous terrain.Research Presentation:• January 2012: University of Virgin Islands, St. Thomas • October 2011: SACNAS Conference 2011, San Jose, California • September 2011: Ana G. Mendez University System Symposium 2011, San Juan, Puerto Rico

Jean Carlos Rivera Skills

Team Building Consulting Suppliers Vendors Location College Football Computing Matlab Cost Beverage Linear Programming Supply Chain Management Surveyors Biotechnology Baseball Motors Tableau Honor Acceleration San Dynamics Crm Cups Minitab Programming Symposium Caribbean Microsoft Dynamics 365 Real Estate Simio Charting Design Of Experiments Scholarships Monte Carlo Simulation Php Third Party New Service Organizational Structure Salesforce.com Administration Eti Management Simulations Design Public Relations Computer Science Science Route Regression Analysis Hp Enterprise Solutions Statistics Metrics Mysql Steering Microsoft Power Bi Sports Management Correlation Spanish Auditing Football Chain Powerpoint Monitors Soccer Ssps Lean Manufacturing Budget Analysis Methodology Systems Engineering Capability Development Factor Qualification Supplier Evaluation Linear Sae Fusion Networking Instrumentation Languages Sewer System Telecommunications Business Services Cell English Tests Utilization Engineering Reports Purchased Inventory Aeronautics Strategies Microsoft Office Wind Visual Basic Avl Supplier Development Buying Microsoft Excel Transportation Testing Supplier Performance Intelligent Agents Puerto Rico Nasa Policy Probability Ext Ms Project Aop Hispanic Conferences Scheduling Project Management Research Ancova Anova Analysis Drawing Inspection Data Visualization Project Charter Combination Comparisons Humidity R Probe Vehicles Operations Research Sap Wastewater Commodities Industrial Engineering Sports C Selecting Coordination Tanks Space Manhattan Star Logistics Snow Linear Regression Data Analysis Communication Schedules Athletic Training Customer Relationship Management Simulation Software Safety Business Intelligence Development Studio Html Microsoft Access Microsoft Dynamics Crm Electricians Power Bi Process Capability Colorado Credit Time Management Timelines Social Influence System Performance Autonomous Vehicles Microsoft Project Iaa Paths Data Driven Testing Project Sql San Jose Metric France Islands Lingo Analytics Fuzzy Logic Inventory Control Storms Survivability Microsoft Visual Studio C++ Toro Presentations Cup Spss Linkedin Erd Websites Responsibility Spain Six Sigma Packaging Distribution Purchasing Comparison Control Charts Management Engineering Database Driven Web Applications Football Coaching Rio Salesforce Product Requirements Paris Multi Tasking Brazil Tax Warehousing Sourcing New York Plot Technical Design Microsoft Dynamics Visio Medical Devices Software Sas Technical Capabilities Business Objects Outlook Mechanical Engineering Pareto Analysis Salesforce.com Implementation Microsoft Word Fashion Stocks Proposal Writing Organizational Behavior Network Communications Manufacturing Libraries Dynamics 365 Stability Setups Decision Making Budgets Python Aerospace Optimization Precipitation Conceptual Modeling Planners Supply Chain French Delivery Simulink Capstone Automation Selling Product Quality Databases

Jean Carlos Rivera Education Details

  • Columbia University
    Columbia University
    Master'S Degree
  • Universidad Del Turabo
    Universidad Del Turabo
    Bachelor'S Degree

Frequently Asked Questions about Jean Carlos Rivera

What company does Jean Carlos Rivera work for?

Jean Carlos Rivera works for Slalom

What is Jean Carlos Rivera's role at the current company?

Jean Carlos Rivera's current role is Principal - Data and Analytics.

What is Jean Carlos Rivera's email address?

Jean Carlos Rivera's email address is je****@****lom.com

What schools did Jean Carlos Rivera attend?

Jean Carlos Rivera attended Columbia University, Universidad Del Turabo.

What skills is Jean Carlos Rivera known for?

Jean Carlos Rivera has skills like Team Building, Consulting, Suppliers, Vendors, Location, College Football, Computing, Matlab, Cost, Beverage, Linear Programming, Supply Chain Management.

Who are Jean Carlos Rivera's colleagues?

Jean Carlos Rivera's colleagues are Evelyn Baxley (She/her/hers), Constance Tran, Graham Briggs, Pmp, Adam Kinney, Glyn Anderson, Richa Saini, Emily Nichols, Ms, Pmp, Popm.

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