Aline V.
Data Analyst

Skills

Spark

Pl/sql

Sas

Microsoft Sql Server

Oracle Database

Python

Amazon Aws

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Hire Aline V.

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Bio

Data Scientist
1/1/2023 - Present

Demonstrated technical proficiency in data analysis and table creation for statistical model generation. Conducted extensive studies to understand customer consumption and purchase cycles within e-commerce platforms. Led the extraction and analysis of data, along with the generation of detailed reports and presentations. Undertook tasks involving the search, creation, and transformation of data, ensuring necessary tables for model generation were in place. Engaged in exploratory and descriptive analyses of existing data, performing modifications and transformations essential for the development of statistical models aimed at enhancing e-commerce sales.

Developed machine learning models to optimize sales and marketing campaigns, including back-testing and retraining of existing models. Implemented clustering and segmentation models leveraging customer profiles and device-switching data to improve the precision and effectiveness of marketing campaigns targeting most adherent customers. Utilized tools such as Cloudera, Python, Spark, pandas, SQL Oracle, and SAS for model development and ETL processes, and employed Power BI, Tableau, and Office for data visualization and presentation. Maintained version control using Git and AWS, and adhered to agile work methodologies with Jira.

Demonstrated strong communication skills by effectively liaising with business areas, delivering detailed storytelling presentations, accurately interpreting client demands, and presenting results in clear and comprehensible meetings.
Data Scientist / Data Analyst
2/1/2022 - 12/1/2023

Developed and implemented models to analyze student consumption on educational platforms, identifying areas needing attention and suggesting improvements. Conducted in-depth data analysis and created recurring and ad-hoc reports, leveraging experience in startup environments. Designed and managed databases and reports to facilitate business decision-making, both for ongoing needs and specific requests. Developed machine learning models, including clustering, hierarchical models, and K-means, using tools such as Databricks, Python, PySpark, and Pandas for model development and ETL processes. Utilized Power BI and Google Sheets for generating comprehensive reports and presentations, meeting diverse demands across the organization. Ensured effective code versioning and management through Git and AWS. Maintained clear communication with various business areas, presenting data findings and storytelling for strategic insights.
Consultant
12/1/2018 - 2/1/2022

Developed expertise in fraud prevention for a large financial corporation, focusing on data quality and generating new analytical insights. Demonstrated proficiency in data manipulation, creating tables, and generating reports for fraud analysis and verification of potential fraud alerts. Achieved advanced skills in creating report views using Power BI and developing cubes and data marts to enhance analytical capabilities. Contributed significantly to the statistics team within Fraud Prevention, automating and restructuring existing processes.

Led a team of SAS consultants, providing consultancy to the fraud team, and facilitating clear communication between the team, client, and SAS leaders. Played a pivotal role as Scrum Master for an internal SAS project, generating an activity manager and organizing internal client demands.
Database Analyst
5/1/2014 - 12/31/2018

Developed proficiency in creating reports and charts using Web Report, Tableau, and VA to assist in decision-making across various departments of a large telecommunications organization. Expertly managed user accounts and permissions through SAS Management Console. Scheduled and automated job tasks for generating campaigns and reports utilizing SAS Customer Intelligence Studio and SAS Data Integration Studio. Led and managed reporting team demands, instructing on best practices for programming and providing business insights. Conducted training sessions for team members in the DBM area. Advanced skills in SAS and Oracle programming to optimize data scripts and enhance report generation performance. Utilized SAS Cube and Information Map tools for data configuration and optimization, enabling efficient report visualization in Web Report. Demonstrated a strong understanding of business rules and processes, offering improvement suggestions and applying project experience to add value. Key technologies and tools included SAS Enterprise Guide, SAS OLAP Cube Studio, SAS Web Report Studio, SAS Management Console, SAS Information Map Studio, SAS Customer Intelligence Studio, SAS Data Integration Studio, Oracle, Microsoft Excel, Microsoft Access, Tableau, and VA.
Support Analyst Pl
11/1/2010 - 10/31/2013

Developed expertise in technical support within the events industry, addressing customer inquiries and resolving issues efficiently. Gained proficiency in utilizing FTP for file transfers and maintaining data integrity. Became adept at leveraging Excel for data analysis and reporting, and honed skills in database management through extensive use of MySQL. Demonstrated ability to provide effective and timely customer support while utilizing various technical tools and systems.