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Work Background
Instituto AtlรขnticoData Engineer
Aug. 2022Fortaleza, Cearรก, Brasilโข ๐๐ช๐ฆ ๐๐ฐ๐ผ๐๐๐๐๐ฒ๐บ ๐ฃ๐ฟ๐ผ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: Worked extensively within the ๐๐ช๐ฆ ecosystem, primarily utilizing S3 buckets, EMR, and Redshift, ensuring efficient storage, processing, and retrieval of large datasets.
โข ๐๐ง๐ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐: Conducted ETL processes using ๐๐ฝ๐ฎ๐ฐ๐ต๐ฒ ๐๐ถ๐ฟ๐ณ๐น๐ผ๐ and managed data pipelines with Azure Pipelines and Terraform scripts, leveraging ๐ฃ๐๐๐ต๐ผ๐ป for task automation and execution.
โข ๐๐ด๐ถ๐น๐ฒ ๐ ๐ฒ๐๐ต๐ผ๐ฑ๐ผ๐น๐ผ๐ด๐: Utilized Agile methodology for effective project management and team collaboration, ensuring timely and successful project delivery.
โข ๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐ฆ๐๐ฎ๐ฐ๐ธ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐: Collaborated on developing a data pipeline for Google Analytics using a modern data stack with dbt and Dagster. Contributed to implementing data pipelines with CI/CD and observability, processing hundreds of gigabytes of data daily, ensuring efficient and reliable data processing.
โข ๐๐ฎ๐ฟ๐ด๐ฒ-๐ฆ๐ฐ๐ฎ๐น๐ฒ ๐๐ฎ๐๐ฎ ๐๐ฎ๐ป๐ฑ๐น๐ถ๐ป๐ด: Leveraged these technologies and processes to ensure the efficient handling and transformation of large-scale data, making it readily available for business intelligence and decision-making.
Pague Menos DrugstoreLead Data Scientist
Jan. 2022 - Oct. 2022Fortalezaโข ๐ฆ๐ฎ๐น๐ฒ๐ ๐๐ผ๐ฟ๐ฒ๐ฐ๐ฎ๐๐๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด: Developed, enhanced, and monitored algorithms for sales forecasting using advanced ๐ฝ๐๐๐ต๐ผ๐ป machine learning models like Random Forest and XGBoost, as well as time series techniques. This model served as a reference for the construction of over 100 drugstores within a single year.
โข ๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด: Oversaw the deployment and continuous improvement of machine learning models for new sites. Created robust data pipelines to ensure seamless deployment of ML models in production environments.
โข ๐๐ฃ๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐ฉ๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Monitored and constructed Key Performance Indicators (KPIs) using Tableau to provide actionable insights and drive strategic decision-making.
โข ๐๐
๐ฝ๐ฒ๐ป๐๐ฒ ๐๐ป๐ผ๐บ๐ฎ๐น๐ ๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป: Developed an anomaly detection system for expenses using various Python libraries such as pyOD, sklearn (including isolation forest, outlier measurement, and kurtosis), pycaret, and scipy, ensuring financial integrity and identifying potential issues promptly.
โข ๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ ๐ฉ๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ฆ๐ถ๐บ๐๐น๐ฎ๐๐ถ๐ผ๐ป๐: Engineered dynamic simulations for economic viability analysis through an automated pipeline that continuously updates assumptions and delivers all critical financial KPIs for informed decision-making.
Pague Menos DrugstoreData Scientist Specialist
Feb. 2020 - Jan. 2022Fortalezaโข ๐๐ฎ๐๐ฎ ๐ฅ๐ฒ๐ฝ๐ผ๐๐ถ๐๐ผ๐ฟ๐ ๐๐ฒ๐๐ถ๐ด๐ป ๐ฎ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐: Designed and developed a data pipeline using ๐ฝ๐๐๐ต๐ผ๐ป models to construct a data repository incorporating the company's financial modeling. Successfully migrated to a new architecture that reduced total processing time from 1 day to 30 minutes.
โข ๐๐ฃ๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐๐ ๐๐ฎ๐๐ต๐ฏ๐ผ๐ฎ๐ฟ๐ฑ๐: Created Key Performance Indicators (KPIs) and implemented them in dashboards using Tableau as the Business Intelligence (BI) tool, significantly enhancing data visualization and decision-making processes.
โข ๐๐
๐ฝ๐น๐ผ๐ฟ๐ฎ๐๐ผ๐ฟ๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐: Conducted extensive exploratory data analysis utilizing data from various company sectors, including sales, products, finance, and expansion, providing comprehensive insights to stakeholders.
โข ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐๐ผ๐ป๐๐๐ฟ๐๐ฐ๐๐ถ๐ผ๐ป ๐ณ๐ฟ๐ผ๐บ ๐๐๐๐ผ๐ฟ๐๐บ๐ฒ๐ป๐ ๐๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป: Developed data pipelines for constructing a database derived from assortment information, SKUs, etc., ensuring data integrity and accuracy for better inventory management and operational planning.
โข ๐๐ฎ๐๐ฎ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: Implemented observability practices to monitor data pipelines, ensuring real-time tracking and rapid identification of issues, leading to more reliable and efficient data processing.
โข ๐๐ฎ๐๐ฎ ๐ค๐๐ฎ๐น๐ถ๐๐ ๐๐ป๐ฑ ๐ฉ๐ฎ๐น๐ถ๐ฑ๐ฎ๐๐ถ๐ผ๐ป: Ensured data quality through rigorous testing and validation processes, maintaining high standards of data integrity across all projects.
SiMCoData Scientist
Jan. 2018 - Feb. 2020Fortalezaโข ๐๐ฎ๐๐ฎ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐๐ฒ๐๐ถ๐ด๐ป ๐๐๐ถ๐ป๐ด ๐ฃ๐๐๐ต๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฆ๐ค๐: Utilized Python and SQL to build data pipelines that supported the creation of a comprehensive financial database, optimizing data retrieval and analysis processes.
โข ๐๐น๐๐๐๐ฒ๐ฟ๐ถ๐ป๐ด ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐ณ๐ผ๐ฟ ๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ ๐๐ผ๐ป๐๐๐ฟ๐๐ฐ๐๐ถ๐ผ๐ป: Developed and implemented clustering machine learning models for persona construction, enhancing marketing strategies and customer segmentation.
โข ๐๐ป๐ฑ-๐๐ผ-๐๐ป๐ฑ ๐๐ฎ๐๐ฎ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป: Designed and automated end-to-end data pipelines for seamless data integration and consumption in BI tools, leading to improved reporting and decision-making.
โข ๐๐ฟ๐ผ๐๐-๐๐๐ป๐ฐ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐๐ฒ๐ด๐ฟ๐ถ๐๐: Collaborated with cross-functional teams to ensure data integrity and accuracy, significantly boosting the reliability of business insights.
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