Carlos Kelly

Data and Technology Advocate at Gabu
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Contact Information
us****@****om
(386) 825-5501
Location
Guadalajara, Jalisco, Mexico, MX
Languages
  • Ingles Full professional proficiency
  • Español Native or bilingual proficiency

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Credentials

  • Data Scientist Professional Certificate
    DataCamp
    Sep, 2021
    - Nov, 2024
  • Data Scientist with R Track
    DataCamp
    Sep, 2021
    - Nov, 2024
  • Forecasting in R
    DataCamp
    Aug, 2021
    - Nov, 2024
  • Pricing: Using Data to Improve Pricing Performance
    MIT Sloan School of Management
    Jun, 2021
    - Nov, 2024
  • Business Analytics for Data Science
    Platzi
    Apr, 2021
    - Nov, 2024
  • Math Fundamentals
    Platzi
    Apr, 2021
    - Nov, 2024
  • Data Ingestion with Python
    LinkedIn
    May, 2020
    - Nov, 2024
  • Cómo dar y recibir feedback o retroalimentación
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • Cómo liderar con eficacia
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • Empodera a tus empleados
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • La escucha activa
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • Liderazgo con inteligencia emocional
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • Data Visualization: Storytelling
    LinkedIn
    Dec, 2019
    - Nov, 2024
  • Learning Python
    LinkedIn
    Nov, 2019
    - Nov, 2024
  • Advance Your Skills as an R Expert
    LinkedIn
    Oct, 2019
    - Nov, 2024
  • Advanced SQL for Data Scientists
    LinkedIn
    Sep, 2019
    - Nov, 2024
  • Become a Data Analytics Specialist
    LinkedIn
    Sep, 2019
    - Nov, 2024
  • Learning Data Analytics
    LinkedIn
    Sep, 2019
    - Nov, 2024

Experience

    • United States
    • Mobile Gaming Apps
    • 1 - 100 Employee
    • Data and Technology Advocate
      • May 2022 - Present

    • United States
    • Financial Services
    • 100 - 200 Employee
    • Strategic Finance, Analytics and Scalability Sr Manager
      • Sep 2020 - May 2022

      I lead the team in charge of: - Implementation and improvement of forecasting, automation, scalability in Finance. - Scenario building with statistical tools, board of directors’ presentation material creation, processes to improve the accuracy of the forecasts.All of these with Quantrix, Forecasting and Predicting (Machine Learning , H2O), SQL (Snowflake), R, Python, Parallelization, Tableau, Google Suite, Microsoft Office I lead the team in charge of: - Implementation and improvement of forecasting, automation, scalability in Finance. - Scenario building with statistical tools, board of directors’ presentation material creation, processes to improve the accuracy of the forecasts.All of these with Quantrix, Forecasting and Predicting (Machine Learning , H2O), SQL (Snowflake), R, Python, Parallelization, Tableau, Google Suite, Microsoft Office

    • Mexico
    • Financial Services
    • 400 - 500 Employee
    • Business Insights & Data Analytics Manager
      • Jul 2019 - Aug 2020

      - Lead the implementation of self service and data driven culture.- Get involved in strategic planning and tactical implementation of data analysis activities and business cases.- Establish metrics to support the setting of objectives in projects and improvement plans.- Be in charge of creating a scalable data workflow for reporting, analysis and forecasting.- Manage activities related to analysts' staff, including hiring, guidance, evaluation, disciplinary actions, and continuing education initiatives.- Promote the development and implementation of data analysis support tools, such as BI tools, programming languages, ETL and use third-party information.- Participate in the community of analysts outside Kueski for the purpose of building relationships, attending events, sharing the best practices, and providing advice to the team.- Promote, exemplify and support Kueski's values ​​as well as trust among all team members.Tools and languages implemented and used in the team Python, R, SQL, Airflow, Docker, Tableau, Supervised and Unsupervised Machine Learning, and Optimization.

    • Business Decisions Insights Team Lead
      • Sep 2018 - Jul 2019

      - Lead the team of Business Insights and Data Analytics- Understand and help satisfy the professional needs of the team- Collect data and measure the team's efficiency- Assign the analysts to each department and value stream in Kueski- Build processes and strategies to help prioritize between competing priorities within the company. - Assist in analysis elaboration by helping define best methodologies- Solve Kueski business cases- Provide tools and techniques to analysts to improve their capabilities. - Support subject matter experts (SME) for specific analytics driven business problems.- Communicate business findings and strategic recommendations to stakeholders.- Deliver effective presentations with findings and recommendations to multiple levels of stakeholders and across different functions.

    • Culture Keepers Project Lead
      • Jul 2018 - Feb 2019

      Culture Keepers is a group focused on giving continuity, permeability, and improvement to Kueski's culture.As lead my role had the next responsibilities:- Ensure the impact and continuity of the Culture Keepers team- Involve and lead the team to the project's vision- Follow up of projects that impact the culture inside Kueski

    • Business Decisions Insights integration Project lead
      • Jul 2018 - Sep 2018

      - Define and manage all the necessary steps to accomplish a successful integration- Understand and help satisfy the necessities of technical knowledge of the team- Collect data and measure the team's efficiency- Assign and prioritize analysis and reporting requirements- Manage and update the project roadmap- Assist in analysis elaboration by helping define best methodologies

    • Business Insights & Data Analyst
      • Aug 2016 - Sep 2018

      - Construct analysis around a specific business question. - Formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.- Support subject matter experts (SME) for specific analytics-driven business problems.- Communicate business findings and strategic recommendations to stakeholders.- Deliver effective presentations with findings and recommendations to multiple levels of stakeholders and across different functions.- Understanding, Statistical modeling, Forecasting, and Clustering of business components and results. (Machine learning & Business simulation)- Creation and maintenance of Business Database (ETL process)All of these with Agile Methodology (Kanban), Postgresql, MySQL, R, Metabase, Excel and PowerPoint

    • United States
    • Wellness and Fitness Services
    • 700 & Above Employee
    • Business Analyst Americas
      • Dec 2015 - Aug 2016

      - Forecasting metrics- Business Analytics Planning in order to detect trends and business opportunities.- Reports Standardization for Regional Sales Managers (NAM, Mexico, SAM CAM)- WW KPI´s Dashboards Improvements- Executive Presentations/Business Reviews- Ad-Hoc reportsAll of these with Microstrategy, Access, R, Excel, and PowerPoint - Forecasting metrics- Business Analytics Planning in order to detect trends and business opportunities.- Reports Standardization for Regional Sales Managers (NAM, Mexico, SAM CAM)- WW KPI´s Dashboards Improvements- Executive Presentations/Business Reviews- Ad-Hoc reportsAll of these with Microstrategy, Access, R, Excel, and PowerPoint

    • Mexico
    • Accounting
    • 400 - 500 Employee
    • Transfer pricing advisor
      • Oct 2014 - Dec 2015

      -Analysis of operations between multinational companies to determine if those operations are at market value.-Calculation of financial indicators.-Credit risk analysis.-Benchmark analysis.-Participation in the economics newsletter in financial markets section.-Process automation and optimization.-Industry research.All of these with Microsoft Excel, Word and visual basic -Analysis of operations between multinational companies to determine if those operations are at market value.-Calculation of financial indicators.-Credit risk analysis.-Benchmark analysis.-Participation in the economics newsletter in financial markets section.-Process automation and optimization.-Industry research.All of these with Microsoft Excel, Word and visual basic

Education

  • ITESO Universidad Jesuita de Guadalajara
    Grado en Ingeniería, Financial engineering
    2012 - 2015
  • IPADE Business School
    Diplomatura, Business Management
    2016 - 2017

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