🚀 With 19+ years in tech, I've been on a data-driven journey—crafting Business Intelligence solutions and building data strategies that power decisions across industries like digital banking, fashion, telecom, education, automotive, and consumer goods.

📚 I'm also the author of Data Product Management in the AI Age, where I dive into modern data strategy and product thinking. The book introduces two frameworks I created to make that happen:

• 🎯 Data Product Management Canvas
• 🧭 Golden Data Platform Strategy

🧠 My expertise spans:

• Data & Analytics Strategy
• Data Product Management
• Data Governance
• Analytics & Data Engineering
• Machine Learning Engineering

• Cloud & Storage: Amazon S3
• Data Engineering & Analytics: dbt, Databricks, Spark (Scala), Python
• Databases: Redshift, Snowflake, Oracle, SQL Server
• Visualization & BI: Power BI, Looker, OBIEE
• ETL & Modeling: ODI, Pentaho, SSIS, Oracle Data Modeler
• Planning & Analysis Tools: Hyperion Planning, Calculation Manager, SmartView
• Enterprise Systems: SAP BW, SAP HANA

I live at the intersection of data, product, and innovation — and I’m always up for solving meaningful problems using or creating smart, creative and scalable solutions.

• agent_ai_beauty_content_generator

  • Tools: 🐍 Python | 📄 Streamlit | 🦙 Llama | ⚡ Groq | 🔗 LangChain | 🐳 Docker
  • Project: AI-powered application that generates beauty-related content using Llama models via Groq API and LangChain for orchestration, built with Python and Streamlit, containerized with Docker for easy deployment.

• pbi_agile_team_efficiency_metrics

  • Tools: 📊 Power BI | 🧩 Atlassian Jira
  • Project: Dashboard to present team efficiency metrics based on data pulled from Atlassian Jira.

• fia_aedes_aegypti_project

  • Tools: 🐍 Python | 🔥 PySpark | 🧪 R | 📊 Power BI
  • Project: Developed during my Big Data Analytics specialization to predict infection rates of Aedes Aegypti in Recife - a Brazil's state - neighborhoods.

• meta-etl-purchases-project

  • Tools: 🐍 Python | ⚙️ dbt | ☁️ AWS RDS (Postgres)
  • Project: Meta project that contains 2 projects that consumes raw public data about purchases and run a data pipeline using Python + dbt.

• movie_registration_challenge

  • Tools: 🐍 Python | 💾 SQLite | 📄 JSON
  • Project: Challenge for a movie registration system using Python, with data storage in a JSON file or SQLite database.

• quote_scraping_challenge

  • Tools:🐍 Python
  • Project: Challenge to scrape data from Quotes to Scrape and print authors and their quotes.

• cheapest_flight_ticket

  • Tools: 🐍 Python
  • Project: Challenge to list the cheapest flight ticket from a list of tickets using Python.

• 🌍 JessikaMilhomem.com
• 💼 LinkedIn Profile

• ✉️ Email Me
• 📎 LinkedIn Profile