Caio Nascimento

Sr. Data & Analytics Manager at Loja Integrada
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Contact Information
us****@****om
(386) 825-5501
Location
São Paulo, São Paulo, Brazil, BR
Languages
  • Inglês Professional working proficiency
  • Espanhol Limited working proficiency
Skills

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Thais de Oliveira Cardoso

O Caio é um excelente parceiro de negócios, sempre aberto para discutir necessidades e novas ideias. Tive a satisfação de atendê-lo e perceber um líder interessado em conhecer sua área, pessoas, indicadores, além de construir ações de manutenção ou melhoria dos resultados, é um gestor que se preocupa com o desenvolvimento dos colaboradores e impacto para o negócio. Além disso, possui um excelente conhecimento técnico e senso crítico.

Pamela Gasparotto

O Caio foi meu gestor por 5 anos. Ele foi fundamental para meu desenvolvimento e transição como profissional para a area de Data, como gestor conseguiu além de ensinar e direcionar, ele soube me desafiar em muitos momentos. Tem uma visao holistica admiravel, tem um vasto conhecimento da área técnica e sabe interligar os desenvolvimentos com o negocio, somado a isso consegue explicar essa relacao de forma clara para todos os interessados tecnicos ou não. Ter o Caio em qualquer empresa é ter um profissional que transita entre negocios e tecnica com muita facilidade e que busca os objetivos da empresa.

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Credentials

  • Designing Machine Learning Workflows in Python
    DataCamp
    Jun, 2023
    - Nov, 2024
  • Fraud Detection in Python
    DataCamp
    Jun, 2023
    - Nov, 2024
  • Implementing AI Solutions in Business
    DataCamp
    Jun, 2023
    - Nov, 2024
  • Introduction to MLflow
    DataCamp
    Jun, 2023
    - Nov, 2024
  • Working with the OpenAI API
    DataCamp
    Jun, 2023
    - Nov, 2024
  • Functions for Manipulating Data in PostgreSQL
    DataCamp
    May, 2023
    - Nov, 2024
  • Introduction to Deep Learning with PyTorch
    DataCamp
    May, 2023
    - Nov, 2024
  • Joining Data in SQL
    DataCamp
    May, 2023
    - Nov, 2024
  • Machine Learning for Time Series Data in Python
    DataCamp
    May, 2023
    - Nov, 2024
  • Skill Track - Time Series with Python
    DataCamp
    May, 2023
    - Nov, 2024
  • Time Series Analysis in Python
    DataCamp
    May, 2023
    - Nov, 2024
  • Visualizing Time Series Data in Python
    DataCamp
    May, 2023
    - Nov, 2024
  • Discrete Event Simulation in Python
    DataCamp
    Mar, 2023
    - Nov, 2024
  • Introduction to Data Warehousing
    DataCamp
    Jan, 2023
    - Nov, 2024
  • Credit Risk Modeling in Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Monte Carlo Simulations in Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Predicting CTR with Machine Learning in Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Regular Expressions in Python
    DataCamp
    Dec, 2022
    - Nov, 2024
  • Analyzing Social Media Data in Python
    DataCamp
    Apr, 2022
    - Nov, 2024
  • Machine Learning with scikit-learn
    DataCamp
    Apr, 2022
    - Nov, 2024
  • dbt Fundamentals
    dbt Labs
    Mar, 2022
    - Nov, 2024
  • Introduction to Data Visualization with ggplot2
    DataCamp
    Jan, 2022
    - Nov, 2024
  • Improving Query Performance in PostgreSQL
    DataCamp
    Dec, 2021
    - Nov, 2024
  • Statistical Simulation in Python
    DataCamp
    Dec, 2021
    - Nov, 2024
  • ARIMA Models in Python
    DataCamp
    Nov, 2021
    - Nov, 2024
  • Data-Driven Decision Making for Business
    DataCamp
    Nov, 2021
    - Nov, 2024
  • Functions for Manipulating Data in SQL Server
    DataCamp
    Nov, 2021
    - Nov, 2024
  • SQL Server Fundamentals Track
    DataCamp
    Nov, 2021
    - Nov, 2024
  • Data Scientist with Python Track
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Intermediate Data Visualization with Seaborn
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Intermediate Data Visualization with Seaborn
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Machine Learning with Tree-Based Models in Python
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Working with Dates and Times in Python
    DataCamp
    Oct, 2021
    - Nov, 2024
  • Case Study: School Budgeting with Machine Learning in Python
    DataCamp
    Sep, 2021
    - Nov, 2024
  • Machine Learning Fundamentals with Python Track
    DataCamp
    Sep, 2021
    - Nov, 2024
  • Marketing Analytics for Business
    DataCamp
    Sep, 2021
    - Nov, 2024
  • NoSQL Concepts
    DataCamp
    Sep, 2021
    - Nov, 2024
  • Linear Classiers in Python
    DataCamp
    Jul, 2021
    - Nov, 2024
  • Cluster Analysis in Python
    DataCamp
    Jun, 2021
    - Nov, 2024
  • Data Manipulation with dplyr
    DataCamp
    Jun, 2021
    - Nov, 2024
  • Joining Data with dplyr
    DataCamp
    Jun, 2021
    - Nov, 2024
  • Supervised Learning with scikit-learn
    DataCamp
    Jun, 2021
    - Nov, 2024
  • Unsupervised Learning in Python
    DataCamp
    Jun, 2021
    - Nov, 2024
  • Exploratory Data Analysis in Python
    DataCamp
    May, 2021
    - Nov, 2024
  • Introduction to Data Visualization with Seaborn
    DataCamp
    May, 2021
    - Nov, 2024
  • Survival Analysis in Python
    DataCamp
    May, 2021
    - Nov, 2024
  • Advanced Deep Learning with Keras
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Cleaning Data in Python
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Deep Learning in Python Track
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Extreme Gradient Boosting with XGBoost
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Factor Analysis in R
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Introduction to Deep Learning in Python
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Introduction to Deep Learning with Keras
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Introduction to TensorFlow in Python
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Redes Neurais Recorrentes: Deep Learning com PyTorch
    Alura
    Apr, 2021
    - Nov, 2024
  • Unsupervised Machine Learning with R Track
    DataCamp
    Apr, 2021
    - Nov, 2024
  • Data Manipulation with pandas
    DataCamp
    Mar, 2021
    - Nov, 2024
  • HyperparameterTuninginR
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Introduction to Data Visualization with Matplotlib
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Joining Data with pandas
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Machine Learning Scientist with R Track
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Modeling with tidymodels in R
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Topic Modeling in R
    DataCamp
    Mar, 2021
    - Nov, 2024
  • Advanced Dimensionality Reduction in R
    DataCamp
    Feb, 2021
    - Nov, 2024
  • Bayesian Regression Modeling with rstanarm
    DataCamp
    Feb, 2021
    - Nov, 2024
  • Fundamentals of Bayesian Data Analysis in R
    DataCamp
    Feb, 2021
    - Nov, 2024
  • Object-Oriented Programming in Python
    DataCamp
    Feb, 2021
    - Nov, 2024
  • SupervisedMachineLearninginRTrack
    DataCamp
    Feb, 2021
    - Nov, 2024
  • Data Analyst with Python Track
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Introduction to Data Visualization in Python
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Statistical Thinking in Python (Part 1)
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Statistical Thinking in Python (Part 2)
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Support Vector Machines in R
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Time Series Analysis in SQL Server
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Tree-Based Models in R
    DataCamp
    Jan, 2021
    - Nov, 2024
  • Building Recommendation Engines in Python
    DataCamp
    Dec, 2020
    - Nov, 2024
  • Web Scraping in Python
    DataCamp
    Dec, 2020
    - Nov, 2024
  • Web Scraping in R
    DataCamp
    Dec, 2020
    - Nov, 2024
  • Big Data with PySpark Track
    DataCamp
    Nov, 2020
    - Nov, 2024
  • Feature Engineering with PySpark
    DataCamp
    Nov, 2020
    - Nov, 2024
  • Introduction to Deep Learning with PyTorch
    DataCamp
    Nov, 2020
    - Nov, 2024
  • Machine Learning with PySpark
    DataCamp
    Nov, 2020
    - Nov, 2024
  • Machine Learning: Classificação por trás dos panos
    Alura Cursos Online
    Oct, 2020
    - Nov, 2024
  • Redes Neurais Convolucionais: Deep Learning com Pytorch
    Alura Cursos Online
    Oct, 2020
    - Nov, 2024
  • Redes Neurais: Deep Learning com Pytorch
    Alura Cursos Online
    Oct, 2020
    - Nov, 2024
  • Treinando uma Rede Neural: Deep Learning com Pytorch
    Alura Cursos Online
    Oct, 2020
    - Nov, 2024
  • Database Design
    DataCamp
    Aug, 2020
    - Nov, 2024
  • Classificação Multilabel de Textos: Múltiplos Contextos em NLP
    Alura Cursos Online
    Jul, 2020
    - Nov, 2024
  • Data Analytics: Machine Learning no Marketing Digital
    Alura Cursos Online
    Jul, 2020
    - Nov, 2024
  • Market Basket Analysis in Python
    DataCamp
    Jul, 2020
    - Nov, 2024
  • Machine Learning: Sistemas de Recomendação em Python
    Alura Cursos Online
    Jun, 2020
    - Nov, 2024
  • Cleaning Data with PySpark
    DataCamp
    May, 2020
    - Nov, 2024
  • Dealing With Missing Data in R
    DataCamp
    May, 2020
    - Nov, 2024
  • Intermediate Tidyverse Toolbox
    DataCamp
    May, 2020
    - Nov, 2024
  • Power BI Dashboard Design Course
    SQLBI
    Apr, 2020
    - Nov, 2024
  • Customer Analytics and A/B Testing in Python
    DataCamp
    Feb, 2020
    - Nov, 2024
  • Machine Learning in the Tidyverse
    DataCamp
    Feb, 2020
    - Nov, 2024
  • Marketing Analytics with Python Track
    DataCamp
    Feb, 2020
    - Nov, 2024
  • PostgreSQL Summary Stats and Window Functions
    DataCamp
    Feb, 2020
    - Nov, 2024
  • SQL for Business Analysts Track
    DataCamp
    Feb, 2020
    - Nov, 2024

Experience

  • Loja Integrada
    • Brazil
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Sr. Data & Analytics Manager
      • Jun 2023 - Present

      Main activity: Generate value through the intelligent use of data, implement a culture focused on the use of data for decision-making in the company and propose solutions to business challenges that enable revenue leverage or resource optimization. Challenges: ● Ensuring data accuracy and integrity through the implementation of data organized through Data Lakehouse structures; ● Develop and implement data and analytics strategies that align with the organization's business objectives; ● Data modeling for application of Data Science and Artificial Intelligence algorithms; ● Present insights from complex data in a clear and understandable way for the team and C-levels; ● Provide training and support to team members in data analysis techniques and data visualization tools (self-service); ● Be a fundamental pillar to transform the company's culture into data-driven; Current Projects: ● Churn Reduction and Re-engagement: application of machine learning models for churn detection and Next Best Offer selection (NBO); ● Buy Together: Basket Analysis model aimed at identifying complementary items, making it possible to assist shopkeepers in forming offers and combos; ● Channel Attribution Model: creation of a model that aims to identify the participation of each channel or customer touch point during their conversion journey in order to allow us to calculate ROI more precisely and help us in the media investment process pay; Show less

  • Digio
    • Brazil
    • Banking
    • 300 - 400 Employee
    • Head of Data & Analytics
      • Mar 2021 - Jun 2023

      Main activity: Generate value through the intelligent use of data, implement a culture focused on the use of data for decision-making in the company and propose solutions to business challenges that enable revenue leverage or resource optimization. Teams: > Data Science: 3 data scientists, 1 machine learning engineer, > Data Product: 1 coordinator, 2 data product owners > Data Engineering: 4 data engineers > Analytics Engineering: 1 coordinator, 3 analytics engineers; > Data Growth Hacking: 1 expert Challenges: > Churn Reduction: implement a process to reduce customer abandonment with the brand, based on churn propensity calculation models and optimization of retention offers; > Increased Invoice Installments: implement a process to leverage invoice installments that does not increase friction in communication with customers and does not affect risk measurements, based on the propensity model for installment payments and the elasticity of the rate offered; > Optimize New Customer Acquisition: implement the process of sending advanced segmentation metrics to platforms (Facebook, Google, etc.) in order to improve the accuracy of acquisition campaigns and thus optimize the LTV / CAC ratio. > Data Platform: implement a means by which the company's different teams can access data with governance and in a way that adheres to the LGPD, in order to maximize the ability of client areas to explore data and make more assertive decisions; > Machine Learning CI/CD treadmill: implement the process of deploying machine learning models following DevOps precepts, in order to reduce the time-to-market of the models produced by the area; Show less

  • Riachuelo
    • Brazil
    • Retail
    • 700 & Above Employee
    • Head of Data Science
      • Jan 2019 - Mar 2021

      Main activity: Propose data-based solutions to business challenges that enable revenue leverage or resource optimization. Team: 6 data scientists, 1 product owner, 1 data engineer, 1 machine learning engineer; The area is divided into 5 fronts: - Product Recommendation: >> Challenge: to present individualized recommendations per customer for products with a higher probability of conversion within different situational contexts; >> Deliverables: Collaborative Filter Recommendation Models (ALS) and Rule Association (a priori); - Optimization of Investment in Media: >> Challenge: to find the optimal combination of investment in the different marketing channels that allow optimizing the ROAS of the campaigns; >> Deliveries: sales attribution model for marketing channels (markov chain), construction of the Marketing Mix Modeling (MMM) model; - CRM: >> Challenge: extracting value from customer transactional data to increase the lifetime value of customer relationships; >> Deliveries: Buy 'Til You Die model (to calculate LTV and Churn per customer), Propensity to Churn model, Next Best Action model (markov chain); - Product and Shipping Pricing: >> Challenge: find the optimal value per customer / (product or service) that maximizes the profitability of the set of transactions; >> Deliveries: elasticity curve by product, conjoint analysis (freight Willingness-to-Pay estimation); - Assortment: >> Challenge: to find the optimal combination of products to be offered that allow maximizing the return on the portfolio; >> Deliveries: Contribution margin per product, analysis of assortment x competitors through web scraping; - Other Responsibilities: >> Leader of the Customer Data Platform creation project and CRM tools implementation project; >> Management of strategic partnerships with external data sources to extract and enrich the data lake; Show less

    • Senior Commercial Planning Manager (E-commerce)
      • Apr 2018 - Dec 2018

      Responsible for implementing the planning department in the e-commerce vertical, as well as creating the analytical intelligence front, with the aim of internalizing and extracting the maximum value from the company's data.

  • Guiabolso
    • Brazil
    • Financial Services
    • 1 - 100 Employee
    • Data Product Owner
      • Dec 2017 - Apr 2018

      Main Responsibility: Translate the needs of internal and external customers into initiatives and activities of the data team. • Responsible for coordinating all company initiatives related to data; • Leader of the project that aims to remodel the architecture of ingestion and availability of analytical data; • Manager of data engineering team activities; • Data modeling for Data Warehouse and Data Marts; Main Responsibility: Translate the needs of internal and external customers into initiatives and activities of the data team. • Responsible for coordinating all company initiatives related to data; • Leader of the project that aims to remodel the architecture of ingestion and availability of analytical data; • Manager of data engineering team activities; • Data modeling for Data Warehouse and Data Marts;

  • Netshoes
    • Brazil
    • Technology, Information and Internet
    • 700 & Above Employee
    • Commercial Planning Manager
      • Jul 2015 - Dec 2017

      Main responsibility: to guarantee the best return on the amount invested in the acquisition of products, in order to minimize stockouts and the % of unhealthy stock. • Responsible for the strategic plans for purchases and sales of the Brazil business unit; • Multidisciplinary team management (2 coordinators and 5 analysts); • Responsible for the S&OP process and control of the OTB tool (Open to Buy); • Review and continuous improvement of business processes; • Product assortment analysis, creation of demand curves, markdown suggestions and replacement suggestion; • Leader of the business front in the implementation of Oracle MFP, Oracle RDF and Oracle AP tools; • Elaboration of new KPIs, metrics and analysis; Show less

    • Commercial Planning Specialist
      • Nov 2014 - Jun 2015

      • Development of the OTB (Open to Buy) tool with an Excel interface supported by MS Access database;• Structuring of the product tree; • Responsible for purchasing and sales plans; • S&OP process structuring; • Responsible for designing and monitoring the development of online sales analysis, such as fundraising curve, effectiveness analysis, etc.;

  • CENTAURO
    • Brazil
    • Retail
    • 700 & Above Employee
    • BI & Planning Coordinator
      • Sep 2013 - Nov 2014

      -BI: • Responsible for the development and implementation of the Planning Tools Expansion Project, which delivered a deeper set of tools and product performance analysis. Contribution and Long Tail); • Responsible for the development of the BI Construction Project. Where I had to coordinate with a specialized consultancy the modeling of the databases, define the tool used (POC, stakeholder survey), design the workflow and access and design the implementation roadmap; -Planning: • Carry out the (macro) management of OTB activities in the clothing segment; • Provide tools for analyzing and disseminating information with greater autonomy. Show less

  • Kallan Calçados
    • Brazil
    • Retail
    • 300 - 400 Employee
    • Planning Analyst
      • May 2013 - Aug 2013

      Create reports with information on performance indicators, in order to support Management and Board of Directors' decision-making, as well as coordinate the allocation team. Main attributions: • Participate in the elaboration and execution of the Strategic Planning; • Analyze indicators and anticipate possible actions for decision-making by Management and Board; • Support to Planning Management and Board; • Monitoring of the Top 10 products by line of business; • Study of stock margin and sales in sales to alert possible opportunities or problems; • Coordinate allocation team; • Train and develop the allocation team; • Act proactively in the allocation strategy; • Inventory planning and control; • Elaboration of results presentations; • Visit to the Group's Stores. Show less

  • PUMA Group
    • Germany
    • Sporting Goods Manufacturing
    • 700 & Above Employee
    • Sales Operations, Planning & Analysis
      • Sep 2012 - Apr 2013

      • Process mapping "as is" & "to be"; • Best "to be” process selection & Implementation; • Sales planning process; • B2B process; • Customer Service Global alignment implementation; • Close-out process implementation; • Drop &Add process; • Sales & Ops Process; • Order Entry Process; • Continuous process improvement and alignment; • Countries process coordination and communication.

    • Sales Planner
      • Jan 2012 - Sep 2012

      Responsible for preparing reports for the headquarters, analysis of results, commercial budget, forecasts, projection of results, monitoring of sales portfolios, analyzes of sell in and sell out, development of OLAP analysis tools. Also responsible for mapping the processes of the commercial area and the process of purchasing products, mapping the tools and knowledge of the department's individuals and mapping and replication of "best practices" in the department.

  • Liberty Seguros (Portugal)
    • Portugal
    • Insurance
    • 700 & Above Employee
    • Planning Analyst
      • Oct 2011 - Dec 2011

      Responsible for producing income statements, management analysis, evaluation and distribution of bonuses to partner brokerages. Development of billing trend analysis tools for better management of expectations. Responsible for producing income statements, management analysis, evaluation and distribution of bonuses to partner brokerages. Development of billing trend analysis tools for better management of expectations.

  • Amer Sports
    • Finland
    • Retail
    • 700 & Above Employee
    • Commercial Analyst
      • Oct 2008 - Jun 2011

      Preparation of management reports, analysis of product performance, price positioning, performance of representatives and commercial results. Responsible for documenting processes and training new employees. Preparation of management reports, analysis of product performance, price positioning, performance of representatives and commercial results. Responsible for documenting processes and training new employees.

Education

  • MBA USP/Esalq
    MBA, Data Science e Analytics
    2021 - 2022
  • Centro Universitário Senac
    Bacharel em Gestão Comercial, Administração e Negócios
    2019 - 2020
  • Faculdade Impacta Tecnologia
    Administração com ênfase em T.I.
    2006 - 2009

Community

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