Jacqueline C.

About Me

Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.

Database

DevOps

Other

Work history

UpStack
UpStack
Data Analyst
2020 - Present (5 years)
Remote
  • Develop complex reports and perform data modeling and analysis according to business needs.

  • Implementing ETL process using various techniques and frameworks, as well as advising on any infrastructure changes required.

  • Work closely with developer teams to integrate data analysis into production systems.

Fifteen Hundred Consulting
Fifteen Hundred Consulting
Senior Data Analyst
2019 - 2020 (1 year)
Sao Paulo, Brazil
  • Developed scripts for ETL using Spark / Python and developed data pipelines using AWS Cloud.

  • Worked on the development of data analytical reports using Jupyter Notebook, also developing Dashboards using Tableau.

  • Performed data analysis using Jupyter Notebook and brought insights to the clients in order to achieve business goals.

Beijaflore
Beijaflore
Big Data Engineer
2018 - 2019 (1 year)
Sao Paulo, Brazil
  • Create solutions towards Big Data using Shell Script, Hadoop framework (HDFS, HBase, Hive, Impala, Hue, Spark) for clients such as Santander, BNP Paribas, Vivo.

  • Developed Python scripts to automate tasks and perform data analytical procedures.

  • Designed solutions independently and maintained the production systems.

EY
EY
Data Analyst / Accounting Auditor
2015 - 2018 (3 years)
Sao Paulo, Brazil
  • Developed, analysed, and interpreted structured and unstructured data using softwares and programming languages in order to extract insights for clients and support internal sub service lines.

  • Created predictive modeling and machine learning algorithms to enhance audit processes.

  • Built effective dashboards with Tableau that compared a variety of data simultaneously.

Showcase

Data Analyst - Project Inchcape
Data Analyst - Project Inchcape
  • Developed ETL pipelines using Python and Spark for daily and historical data.

  • Performed data analytical procedures using Jupyter Notebook and identified key features.

  • Managed and optimized ETL processes on AWS cloud environment with Spark for enhanced performance.

Data Analyst - Project Oracle Best Offer
Data Analyst - Project Oracle Best Offer
  • Performed ETL using Oracle SQL and Python to process data.

  • Created detailed logs and data analytical procedures using Jupyter Notebook.

  • Defined variables relevant to business goals and machine learning model development.

Education

Education
Statistics with Python Specialization
Coursera + University of Michigan
2019 - 2019
Education
BA in Economics
Universidade Metodista do Estado de São Paulo
2009 - 2013 (4 years)