Alexandre Saliba

Miami, FL(305) 399 4862alexsaliba2@gmail.comLinkedIn

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Soon-to-graduate Data Analytics student with an Associate in Computer Information Systems and hands-on experience leveraging large language models and cloud platforms to solve analytical problems. Proficient in SQL, Azure Data Studio, Tableau, Power BI, and R, with a strong foundation in cleaning and transforming complex datasets to surface actionable insights. Seeking opportunities in data analytics, business intelligence, or related roles.

  • SQL, MySQL, Power BI, Tableau
  • Data visualization & statistical analysis
  • Python & R
  • Machine learning (Python — scikit-learn)
  • Microsoft Azure & Databricks
  • ETL processes & data transformation
  • Azure Data Studio
  • Microsoft Office Suite (Excel, Word, PowerPoint)
  • Cloud data platforms (Azure, Databricks)
  • Analytical & problem-solving skills
  • Communication
  • Team collaboration
  • Data storytelling

Bachelor of Applied Science, Data Analytics

Miami Dade College — Miami, FL

  • Relevant coursework: SQL, Tableau, Power BI, Data Visualization, R Language, Databricks

Associate of Arts, Computer Information Systems

Miami Dade College — Miami, FL

  • Microsoft PL-300 Data Analyst Certification (in progress) — DataCamp
  • Google Data Analytics Certification (in progress) — Coursera

Sales Associate

CVS Pharmacy — Miami, FL

  • Assisted in the management of store inventory
  • Engaged with clients at checkout using proprietary software
  • Provided photography services and communicated effectively with customers
  • Processed cash and card transactions accurately while maintaining balanced drawer reconciliations
  • Supported team operations during peak hours by coordinating stock replenishment across assigned floor sections

Analyst, 3-person team — Data Analytics Capstone, Miami Dade College

  • Length of stay and medication count are strongly related to each other, but almost unrelated to whether a diabetes patient comes back within 30 days.
  • Python · pandas · scikit-learn · Tableau

Team of three — Big Data Engineering, Miami Dade College

  • Genre segmentation is statistically justified: a single global model across all film genres fails a formal significance test.
  • PySpark · Databricks · Spark Structured Streaming · Python

Solo project

  • A normalized six-table schema with a self-referencing category hierarchy, built so the business questions could be answered in SQL rather than in spreadsheets.
  • MySQL · MySQL Workbench · SQL

© 2026 Alexandre Saliba

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