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Ana Angelica Perez Mendoza

integration engineer
Skills
(Self-evaluation)
Snowflake 100%
Powerbi 100%
Python 100%
Etl 100%
Apis 100%
SQL 100%
Python3 90%
Analysis of data 90%
Blue 90%
Shopify 90%
Analysis of data 90%
Cloud 90%
Tableau 85%
Salesforce 80%
Power BI 30%
Languages
English:
  • Speaking
    70%
  • Reading
    70%
  • Writing
    70%
Spanish:
  • Writing
    100%
  • Reading
    100%
  • Speaking
    100%
Professional profile

Data Analyst with proficiency in Python (Pandas), SQL, and Power BI for the full data cycle: extraction, cleansing, analysis, and visualization. My previous experience allows me to understand business requirements and translate them into actionable insights that support strategic decision-making.

Work experience

Customer Data And Operations Analyst
centro médico diagnóstico | miami, fl | September 2024 - June 2025 (9 months)
Used skills

I performed extraction, cleansing, and analysis (ETL) of patient data from various sources, consolidating it for reporting and analysis. I developed a dashboard in Looker Studio (Google Data Studio) connected to Google Sheets to visualize appointment availability and workload in real time, optimizing resource allocation.

Major achievement

I used advanced features and pivot tables in Google Sheets to analyze customer satisfaction and present insights to the management team.

Ict Project Analyst
pa maxwell leadership de john maxwell | January 2024 - September 2024 (8 months)
Used skills

I used SQL to perform ad-hoc queries and extract sales data directly from the Salesforce database. I automated the generation of commission and sales performance reports using Python scripts (with the Pandas library), reducing manual processing time by over 80%.

Major achievement

Created data visualizations to present sales campaign performance to stakeholders, facilitating strategic decision-making.

Operations And E-Commerce Developer
dove media llc | January 2018 - January 2024 (6 years)
Used skills

I designed and built a comprehensive Power BI dashboard, centralizing Shopify sales metrics, Stripe transactions, and inventory data, which became the company's primary business analytics tool. I analyzed large volumes of Shopify user behavior data using Python (Pandas, Matplotlib) to identify purchasing patterns and cross-selling opportunities.

Major achievement

I developed and maintained data pipelines (ETL) to ensure that information from different platforms was consistent and up-to-date for analysis.

Education experience
Python for Data Science ai Development ibm
Coursera | Specialization
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