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Liliane A.
Data Analyst

Looker
Spark
Al
Github
Google Bigquery
Databricks
Microsoft Excel (Advanced Analytics Add-ons)
Microsoft Sql Server
Python
Docker Cloud
Bio

Accomplished Data Analyst with extensive experience in data analysis, business intelligence, and the development of innovative solutions. Career highlights include significant project participation presented at a prominent industry summit. Expert in generating insights through advanced data analysis and visualization techniques, with proficiencies in SQL, Python, Databricks, PySpark, Power BI, Looker Studio, and Excel. These technical skills underpin a strategic approach to data, delivering valuable insights and impactful results that drive organizational success.

  • Data Scientist II
    12/1/2023 - 3/1/2024

    Developed proficiency in descriptive, prescriptive, and diagnostic data analysis, ensuring the maintenance of algorithms in production environments. Effectively constructed jobs and restructured tasks and schedules using Databricks. Gained basic knowledge of MongoDB, Apache Kafka, and Redis for data ingestion from algorithms, and proficiently adjusted and created pipelines. Demonstrated expertise in analyzing and manipulating large volumes of data using PySpark, identifying patterns, trends, and insights through statistical techniques and visualization. Contributed to the development of a tourist destination recommendation system and managed end-to-end machine learning processes, including productization of models. Specialized in feature selection and feature engineering, maintaining collaborative code versioning with Gitlab to deliver value through effective data products.

  • Mid-Level Data Analyst
    7/1/2023 - 10/1/2023

    Specialized in customer segmentation techniques including RFV, cohort analysis, and payment analysis, leveraging behavioral economics principles to enhance understanding of customer behavior. Expert in data analysis and modeling using Databricks, capable of conducting rigorous statistical tests. Developed advanced proficiency in Power BI, excelling in query creation, data modeling, and report design to facilitate complex data analysis, identify trends, and generate actionable insights. Delivered significant value through the creation of effective data products and by translating business requirements into impactful data visualization solutions. Gained expertise in generative AI with Vertex AI and prompt engineering. Participated in the Google Cloud Summit held in São Paulo in 2023, showcasing advanced project involvement.

  • Mid-Level Data Analyst
    8/1/2022 - 7/1/2023

    Developed proficiency in descriptive, exploratory, and inferential data analysis, as well as data modeling and SQL query building. Gained expertise in web scraping and analyzing incentives for high-season campaigns. Specialized in developing supervised and unsupervised Machine Learning models and conducted sentiment analysis of tourist destinations using natural language processing techniques like BERT. Demonstrated skills in prompt engineering and market intelligence, including time series analysis and the operationalization of discounts in campaigns. Led multiple projects, maintained OpenMetaData documentation, and generated Ad Hoc reports. Identified actionable insights through web data collection and market trends, translating business requirements into effective data visualization solutions. Additionally, gained experience in dynamic pricing strategies.

  • BI Analyst
    3/1/2021 - 8/1/2022

    Translated business requirements into effective data solutions and developed Churn studies for financial products. Generated Ad Hoc reports and performed web scraping to gather necessary data. Delivered value through effective data products by conducting time series analysis and gathering requirements for Cashback campaigns. Utilized SQL, Python, and PySpark for analysis and data modeling, performing statistical sampling tests and assessing results from marketing journeys. Projected quarterly sales targets and analyzed complex data to identify trends and generate actionable insights. Advanced proficiency in Power BI was demonstrated through the creation of queries, data modeling, and report design, complemented by strong skills in data storytelling. Led Power Platform projects and developed PDCA (Plan-Do-Check-Act) cycles, presenting results effectively to business areas. Created projects in Power Apps to monitor Financial Investment Debt Control (FIDC) and People Analytics, resulting in cost reduction through app implementation.

  • Administrative Assistant
    10/1/2016 - 7/1/2017

    Developed proficiency in analyzing portability to identify trends and generate actionable insights. Translated business requirements into effective data solutions, enhancing operational efficiency. Conducted thorough financial reconciliation to ensure accuracy and consistency in financial records. Performed in-depth analysis of payroll loan data to support decision-making processes. Managed various administrative routines to maintain smooth organizational workflow.

  • Financial Management at UniAteneo - University Center
    2016 - 2018

  • Analysis and Development of Systems at Estácio
    2020 - 2022

  • Data Science at Unifor
    2023 - 2024

  • English at Fluency Academy
    2023 - 2024

  • Fiscal and Tax Management at Estácio
    2019 - 2020

  • Technical Degree in Administration - Technology Axis: Management and Business at CEPEP Technical School
    2016 - 2017

  • Accounting Technician - Technological Axis: Management and Business at CEPEP Technical School
    2015 - 2016

  • Artificial Intelligence: Recommendation Systems in Python at IA Expert Academy
    4/1/2024

  • ChatGPT Marketing: Create Complete Campaigns with ChatGPT AI at Udemy
    4/1/2024

  • Application Monitoring with Prometheus and Grafana at Udemy
    4/1/2024

  • Docker for Developers (with Docker Swarm and Kubernetes) at Udemy
    3/1/2024

  • Machine Learning Engineer at Datacamp
    2/1/2024

  • Git and GitHub from Basic to Advanced (with gist and GitHub Pages) at Udemy
    2/1/2024

  • Machine Learning with PySpark at Datacamp
    1/1/2024

  • Google Analytics Certification at Google
    11/1/2023

  • MLOps: Deployment and Operation of Machine Learning Models at Udemy
    10/1/2023

  • Introduction to Python for Data Science and Data Engineering at Databricks
    10/1/2023

  • Tableau: Basic Training at LinkedIn Learning
    10/1/2023

  • Academy Accreditation - Databricks Lakehouse Fundamentals at Databricks
    9/1/2023

  • Academy Accreditation - Generative AI Fundamentals at Databricks
    9/1/2023

  • Business and Strategic Communication at Udemy
    9/1/2023

  • Six Sigma: Black Belt at LinkedIn Learning
    9/1/2023

  • People Analytics: HR Oriented to Data at Alura
    6/1/2023

  • Databricks: Data Analysis at Alura
    6/1/2023

  • Apache Spark with Python at Alura
    5/1/2023

  • Apache Airflow: Data Extraction at Alura
    5/1/2023

  • Looker Studio at DNC
    4/1/2023

  • BigQuery: Data Manipulation at Alura
    2/1/2023

  • Descriptive Statistics with Python at DNC
    10/1/2022

  • Product Manager: A Journey in Product Management at Alura
    9/1/2022

  • Data Analysis: Predictions with Google Sheets at Alura
    7/1/2022

  • Data Analysis: Statistics with Google Sheets at Alura
    7/1/2022

  • Data Analysis: Google Sheets at Alura
    7/1/2022

  • Express Power BI Course at Leonardo Karpinski
    3/1/2022

  • Creation of Dashboards with Google Data Studio at Udemy
    1/1/2022

  • Assembly and Maintenance of Notebooks at Senac Ceará
    12/1/2021

  • ETL with Integration Services: Data Model at Alura
    9/1/2021

  • Business Intelligence Developer at IGTI – Instituto de Gestão e TI
    9/1/2020

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