Data Scientist
Aug 2021 - Current
Pistil Data - San Francisco, CA, USA
Pistil is at the forefront of the cannabis industry, providing cutting-edge market intelligence technology to
sales teams of all sizes.
Responsibilities:
* Develop and maintain high-quality code for data science projects.
* Support the customer support and business teams with technical expertise.
* Meet deadlines and deliver high-quality deliverables.
* Collaborate with cross-functional teams to integrate and productionize data science deliverables.
* Ensure scalability and performance of data science solutions in a cloud-based environment.
Tools and Technologies:
SQL, Python, Pandas, Scikit Learn, Scipy, Seaborn, SQLAlchemy, df2gspread, Plotly, Matplotlib, Git,
Azure data studio, GSuite, Hubspot.
Contributions:
* Implemented advanced data analysis techniques, resulting in improved platform performance.
* Developed new features to meet the evolving needs of customers, resulting in increased user
engagement and satisfaction.
* Streamlined the data science workflow by implementing automation and improving efficiency.
* Provided valuable insights and analysis to the business team, contributing to an increase in sales and
revenue.
Data Engineer
Feb 2022 - Current
Cloud(x) - Buenos Aires, Argentina
Cloud(x) is a leading software development firm, building AI and cloud solutions at the forefront of
modern technology.
Worked as a consultant at Symend (Canada), a company that generates deep customer insights using a
trifecta of behavioral science, data science, and advanced analytics to empower customers to resolve
past due bills before they reach collections.
Responsibilities:
* Collaborate with cross-functional teams to ensure data resources meet requirements
* Develop and automate data pipelines using best practices
* Research and implement new technologies to improve data engineering processes
* Work closely with data scientists to support the data science life cycle
* Develop data engineering tools and libraries for testing, QA, and scaling
* Partner with analytics platform team to understand data structures and requirements
* Communicate ideas, requirements and challenges to team lead and product managers
Tools and Technologies:
* Python, SQL, Snowflake, DBT, Databricks, Spark, Azure Data Factory, Looker, ADF
Contributions:
* Developed data ingest, propagation and transformation code for Symend Canada, improving
performance and user engagement
* Implemented advanced data engineering techniques to improve pipeline performance
* Developed innovative features to meet evolving customer needs
* Streamlined data engineering workflow through automation
* Provided valuable insights and analysis to the business team, resulting in increased sales and
revenue
* Demonstrated strong technical expertise and a proactive approach in collaborating with crossfunctional teams
Data Intelligence Consultant
Nov 2021 - Feb 2022
wDiscover - Curitiba, PR, Brazil
As a Business Intelligence Consultant at wDISCOVER, a company that specializes in creating
innovative solutions using applications and indicators to improve company's control and decision
making, I had the opportunity to work on a project for Ouro Verde which consisted of migrating their
legacy system to AWS.
Responsibilities:
* Assisted in the migration of Ouro Verde's legacy system to AWS, utilizing technologies such as
Redshift, EMR, and Athena.
* Collaborated with a team of experts to create innovative solutions using applications and indicators to
improve company's control and decision making.
* Ensured the best use and performance of BI tools such as Qlik, Tableau, and Power BI by working
with a team of trained and certified professionals.
AWS technologies used:
* Redshift, EMR, Athena, Batch, Step Functions, Elastic Container Registry, S3, EC2, CloudWatch
Contributions:
* Made valuable contributions to the successful migration of Ouro Verde's legacy system to AWS,
resulting in improved scalability and efficiency.
* Implemented innovative solutions that improved company's control and decision making process.
* Worked with a team of experts to ensure the best use and performance of BI tools, resulting in more
effective data analysis and decision making
Data Science & Business Intelligence Analyst
Aug 2020 - Aug 2021
TKSolution | Tok&Stok - São Paulo, SP, Brazil
As a Data Science & Business Intelligence Analyst at TKSolution, a technology hub for the home decor
and furniture retailer Tok & Stok, I played a vital role in driving intelligence, strategy, innovation, and
valuable solutions through data analysis and visualization.
Responsabilities:
* Developed and implemented data-driven solutions to address business challenges and drive
intelligence, strategy, and innovation
* Utilized a combination of ETL, data analysis, and data visualization to produce robust and efficient
outputs for specific briefs or problems
* Created intelligent cubes and managerial reports using technologies such as Power BI and Reporting
Services
* Worked with a variety of data sources including Oracle, Snowflake, APIs, and DBT to perform data
ingestion and manipulation
* Utilized SQL, PL/SQL, Python, DAX, and M to manipulate complex data and answer specific business
needs
Tools and Technologies:
Power BI, DBT, SSMS, SSAS, SSRS, Git, Oracle, Snowflake, Gsuite, Jira, Confluence, AWS (Glue, S3,
Database Migration Service, Cloudwatch)
Contributions:
* Successfully translated non-data requests into analytical or reporting outputs that answered specific
business questions
* Improved data management and manipulation capabilities through the use of advanced technologies
such as Oracle and Snowflake
* Demonstrated the ability to manage projects in an ambiguous environment and effectively drive
change and overcome obstacles and resistance.
Electrical Engineering Intern - Power Load Forecasting
Dec 2018 - Dec 2019
Energisa - Palmas, TO, Brazil
Data & Analytics centered experience as the main responsible to conduct the analysis and forecast for electrical load and power flow for the State of Tocantins.
As results of this jorney:
* Achieved a significant reduction of man-working time needed due to implemented automation and standardization of power load data;
* Improved insights generation and decision making with meaningful visualizations for the behavior of the power grid, in Power BI;
* I carried out dozens of studies to forecast the annual behavior of Tocantins electrical system up to the year 2035.
Summer Internship in Lean Six Sigma
Jun 2015 - Jul 2015
University of Tennessee & Comercial Vehicle Group - Knoxville, TN, USA
As an intern for the University of Tennessee Lean Six Sigma program, I had the opportunity to work
with Comercial Vehicle Group Ltda (CVG), a leading manufacturer in the commercial vehicle industry.
During my time at CVG, I was responsible for analyzing the company database and improving process
flow in the testing laboratory. Through my efforts, CVG was able to achieve significant improvements in
efficiency and process management.
Responsibilities:
* Analyzed and improving process flow in CVG's testing laboratory
* Identified and mitigating rework and inefficiencies
* Maintained data integrity and standardization in the database
Contribution:
* Reduced waiting time by 10.79% in the testing laboratory
* Solved problems with management processes and mitigated rework
* Optimized the micro-tasks of each process, resulting in improved efficiency and productivity.
