Eduardo Bastos De Moraes Email and Phone Number
Eduardo Bastos De Moraes personal email
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Senior leader responsible for driving growth, delivering value and enabling business transformation with data. My background combines commercial and people management skills with the deep understanding of data and technology.Throughout my career, I have worked at the intersection of Data Science, Machine Learning, Data Engineering, and Business Intelligence, with a deep understanding of how these disciplines can be integrated to drive enterprise-wide value. My extensive experience in Consumer Packaged Goods (CPG), along with exposure to banking, chemicals, media, and start-ups, has equipped me with the versatility to lead data initiatives in various sectors.I hold a post-graduate degree in Applied AI Solutions Development from Canada, specializing in machine learning, deep learning, and natural language processing. My expertise includes implementing AI models for classification, regression, and clustering, both in supervised and unsupervised settings. Additionally, I have a strong foundation in business strategy, holding a Bachelor’s degree in Business Administration and an MBA in Market Strategy with a focus on economics.Having lived and worked in Brazil, Chile, and Canada, I bring a global perspective to data leadership, with a fluency in Portuguese, English, and Spanish. My experience in leading cross-functional data teams in multinational environments has honed my ability to bridge the gap between business and technology, ensuring that data initiatives align with broader organizational goals.Currently based in Toronto, I am passionate about using data as a strategic asset to drive business outcomes. I excel in managing change in fast-paced environments, optimizing processes, and delivering insights that foster data-driven cultures. I understand the complexities of aligning diverse stakeholders and have a history of fostering collaboration across technical and non-technical teams.If you are looking for a data team leader that combines commercial and people management skills with the deep understanding of data and technology, and a passion for AI and data science, I may be a great fit for your company.Some technologies I have worked with: Python, SQL, Spark, Jupyter Notebooks, Flask, Dataiku, Databricks, Power BI, Tableau, SAP, Excel, Github, Hive, SSIS, SQL Server, MongoDB, Nielsen Answers, Google Analytics, Azure, HTML, Javascript and some other tools.
Eq Bank | Equitable Bank
View- Website:
- equitablebank.ca
- Employees:
- 63
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Sr Manager Data Enablement And BiEq Bank | Equitable BankToronto, On, Ca -
Sr Manager Data Science & BiArterra Wines Canada Mar 2024 - PresentMississauga, Ontario, Ca -
Sr Data ScientistArterra Wines Canada Jan 2023 - Mar 2024Mississauga, Ontario, CaLeadership on end-to-end data science initiatives, leveraging advanced tools such as Python, Databricks, and Azure to drive business impact and inform strategic decisions.Analyzed vast datasets to uncover actionable insights, employing sophisticated analytics and mathematical models to reveal hidden trends and opportunities.Led cross-functional teams, streamlining collaboration across departments to optimize data pipelines and enhance project efficiency.Deployed scalable machine learning models to improve key business areas such as recommendation systems, churn prediction, and sales forecasting, while ensuring the models were easily reusable through API integrations.Fostered a data-driven culture by setting best practices for ML model deployment, infrastructure, and adoption, ensuring that data science initiatives were aligned with overall business objectives.Simplified complex technical concepts, delivering impactful presentations to senior leadership and broader teams to promote the adoption of data science across the organization.Oversaw the full lifecycle of data science projects, from initial scoping through to development, validation, deployment, and ongoing optimization, ensuring that initiatives were delivered on time and within budget.Acted as a key liaison between technical teams and business stakeholders, translating business challenges into technical specifications and driving agile project execution.Identified new business opportunities by integrating data science and AI, aligning initiatives with broader organizational goals, and ensuring that they translated into tangible business value.Delivered thought leadership on emerging trends in data science, continuously fostering a culture of innovation, growth, and learning within the team, while keeping the organization ahead in the evolving data landscape. -
Data ScientistScotiabank May 2022 - Dec 2022Toronto, Ontario, CaI have collaborated with the Global AI & Analytics team to reduce customer claims worldwide, driving data-driven decision-making at a global scale.Key responsibilities include:Leading projects in an Agile environment to develop and deploy data solutions that solve real-world business problems.Managing large volumes of structured and unstructured data, overseeing ingestion, modeling, transformation, and storage across various data platforms.Creating clear documentation to explain data sources, models, and algorithms, ensuring transparency and reproducibility.Developing and recommending effective visualizations to turn data insights into actionable business strategies.Designing data-driven reporting and analytics solutions that empower decision-makers across the organization.Partnering with business units to identify areas where data science can create measurable business value.Presenting insights to stakeholders and supporting the implementation of data-driven improvements.Collaborating with advanced analytics teams to establish best practices for data engineering, visualization, and machine learning.Tracking the impact of analytical solutions, communicating their benefits to stakeholders, and ensuring they translate into meaningful business outcomes. -
Data AnalystRiver Analytics & Automation Inc. Mar 2022 - Apr 2022Ottawa, Ontario, CaI worked on a short-term contract to help develop a new analytics pipeline for a major CPG company (P&G)Key contributions include:Translation of a large, business-critical Excel financial statement into a new R-based analytics platform, improving the accuracy and reliability of data used for multi-million-dollar decisions.Utilized Python, JSON, and R Studio to build and optimize the new pipeline, ensuring seamless data integration.Collaborated with the development team in an Agile environment, using Azure DevOps for project management and GitHub for version control. -
Professional DevelopmentCareer Break Sep 2021 - Apr 2022After spending 4 years living and working in Chile, I decided that it was time to explore North America. Starting a Post Graduation in Artificial Intelligence was a great option to improve my education background as well as be introduced to the job market in Canada. I have studied to become Full Stack Data Scientists who is qualified to be Data Scientist, Data Analyst, Data Engineer or Machine Learning Engineer.The program combines three disciplines (Computer Science, Math, Business) with a design-thinking approach to produce ML/Deep Learning models and intuitive dashboards.Outcomes-Identify, evaluate and manage relevant data sources to support data analytics and to meet business needs.-Recommend different systems, architectures and data storage technologies to support data-driven solutions.-Develop and deploy complete ML/Deep Learning systems.-Apply appropriate mathematical models, algorithms, tools and frameworks to develop A.I.-Design and present A.I. solutions effectively to stakeholders through the use of data visualizations.-Apply legal, ethical, privacy and security-related standards.-Implement A.I. systems on time and budget using best practices and strategies in design thinking, project management and lifecycle management.
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Latam Data Analytics (Data Science)Newell Brands Aug 2017 - Jun 2021Atlanta, Ga, Us -
Sales Data Intelligence Sr AnalystNewell Brands Apr 2011 - Jul 2017Atlanta, Ga, Us -
Sales Intelligence Data Productivity AssistantKimberly-Clark Sep 2010 - Mar 2011Irving, Tx, Us• Conducted exploratory data analysis, prototyping, hypothesis testing, root cause analysis, and predictive modeling to define metrics and measure business performance.• Led process improvement initiatives, including the creation of a sales vendor geo-scheduling routine that optimized sales trip costs using Excel VBA.• Automated and deployed a variable compensation simulator for approximately 200 sales vendors, enhancing accuracy and efficiency in compensation planning.• Analyzed historical sales data in SAP to identify productivity trends and drive informed decision-making.• Developed sales quotas and forecasted performance, providing the Sales team with clear goals and actionable insights to meet targets.Core Tech -
Sales Data AssistantItw Aug 2009 - Aug 2010• Collaborated with the Senior Sales Manager to develop a sales model, ensuring profitability across key customer accounts.• Aligned data and analytics with business strategy, financial performance, and operations, driving measurable impact and improved decision-making.• Delivered data analysis and sales support for high-profile customers, including Toyota, Mercedes-Benz, Atlas Schindler, Scania, and Caterpillar.• Developed and implemented sales performance metrics, conducted in-depth competitor analysis, and identified potential business opportunities to strengthen market positioning.• Recommended adjustments to sales techniques and promotional strategies based on market research and emerging trends, improving profitability and sales effectiveness.• Developed an internal search solution, similar to a simplified Google search, enabling customer service teams to quickly identify and recommend products, improving response times and customer satisfaction.Core Tech
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Customer Service SupervisorEditora Jbc May 2007 - Mar 2009Sao Paulo, Sp, BrLed the development and maintenance of a robust customer database, overseeing data extraction, manipulation, and enrichment to support market potential studies and break-even analyses.Implemented data cleansing and customer segmentation initiatives, ensuring the integrity and quality of sales databases while facilitating cross-selling opportunities.Utilized CRM DBM, Excel, Access, ETL, and SQL for efficient data organization and analysis.Directed web marketing efforts and managed the customer relationship process to enhance engagement and satisfaction.Coordinated sales subscriptions at major literary events, including the Festival of Japan and Anime Friends, successfully driving magazine subscriptions for "Made in Japan."Core Tech
Eduardo Bastos De Moraes Education Details
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George Brown CollegeApplied A.I. Solutions Development Program -
Fgv - Fundação Getulio VargasMarket Strategy -
Universidade Santo Amaro - UnisaBusiness Administration -
BerlitzGeneral -
NeogridS&Op –Sales And Operations Planning -
FgvBalanced Scorecard (Bsc) -
FgvProject Scope Management -
Fundação BradescoHtml -
Fundação BradescoData Modeling -
Cultura InglesaEnglish -
DevmediaOracle Xe -
IntelCrm -
Jc EadSeo - Search Engine Optimization
Frequently Asked Questions about Eduardo Bastos De Moraes
What company does Eduardo Bastos De Moraes work for?
Eduardo Bastos De Moraes works for Eq Bank | Equitable Bank
What is Eduardo Bastos De Moraes's role at the current company?
Eduardo Bastos De Moraes's current role is Sr Manager Data Enablement and BI.
What is Eduardo Bastos De Moraes's email address?
Eduardo Bastos De Moraes's email address is ed****@****ail.com
What schools did Eduardo Bastos De Moraes attend?
Eduardo Bastos De Moraes attended George Brown College, Fgv - Fundação Getulio Vargas, Universidade Santo Amaro - Unisa, Berlitz, Neogrid, Fgv, Fgv, Fundação Bradesco, Fundação Bradesco, Cultura Inglesa, Devmedia, Intel, Jc Ead.
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