👋 Hello, I'm Antonio Estevão Moraes

🎯 Telecom Operations Specialist | Data & Analytics | AI & Automation

📍 Brazil

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🚀 About Me

Telecom Operations Specialist with strong experience in data analysis, automation, and process optimization, focused on improving operational efficiency through data analysis, automation, and process optimization.

I work at the intersection of operations and analytics, supporting decision-making with data-driven insights and performance monitoring.

💼 Professional Background

• 25+ years of experience in telecom operations
• Experience in operational management and performance monitoring
• Strong background in SLA, backlog control, and service operations
• Experience leading and supporting teams and projects through operational and data-driven initiatives.

💡 I focus on:

• Improving operational performance (SLA, backlog, MTTR)
• Automating processes and reducing manual workload
• Turning data into actionable insights for decision-making

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🧠 Tech Stack

Operations & Performance

• SLA Monitoring
• Backlog Management
• Operational KPIs

Data Science

• Python (pandas, numpy, scikit-learn)
• Machine Learning (Regression, Classification)
• Statistics & Hypothesis Testing

Data Analytics

• SQL (Joins, CTEs, Window Functions)
• Power BI (Dashboards, DAX)
• Excel

Tools & Engineering

• Git & GitHub
• VS Code
• Docker (basic knowledge)

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🏆 Key Certifications

• 🎓 DataCamp

  • Associate Data Analyst in SQL
  • Associate Data Scientist in Python (in progress)

• 🎓 Datab

  • Formação Completa em Power BI
  • Power BI Specialist

• 🎓 Udemy

  • Estatística para Análise de Dados com Python - Data Scientist. Luciano Galdino
  • Álgebra Linear com Python para Machine Learning e Modelagem - Data Scientist. Luciano Galdino
  • Python Data Science: Data Prep & EDA with Python - Data Scientist. Alice Zhao
  • SQL para Análise de Dados - Midori Toyota

• 🎓 LinkedIn Learning

  • Fundamentos de Estatística (1,2,3) Eddie Davila

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📈 Operational & Data Projects

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🔹 Repair Operations Dashboard

📊 Nationwide monitoring of repair operations and service performance

🔧 Tech:

• Power BI
• DAX
• Data Modeling

📈 Key Metrics:

• Mean Time to Repair (MTTR)
• Backlog of Open Requests
• SLA Compliance
• Performance by Region

💡 Highlights:

• Identification of operational bottlenecks impacting SLA performance
• Regional performance analysis
• SLA monitoring enabling faster response to delays

🔎 View Project Details

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🔹 CPE Operations Dashboard

📊 Monitoring of telecom equipment lifecycle and service operations

🔧 Tech:

• Power BI
• DAX
• Data Modeling

📈 Key Metrics:

• Service Orders (OS)
• Installations vs Removals
• Repair Status
• Scheduling Performance

💡 Highlights:

• CPE lifecycle management
• Partner performance analysis
• Repair and scheduling tracking
• Identification of inefficiencies in equipment lifecycle and operations
  🔎 View Project Details

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🔹 Circuit Migration Dashboard

📊 Monitoring the migration of proprietary circuits to partner providers, focusing on SLA, backlog, and operational performance.

🔧 Tech:

• Power BI
• DAX
• Data Modeling
• Power Automate

📈 Key Metrics:

• Total Service Orders (OS)
• Backlog of Open Orders
• Mean Time to Install (TMI)
• SLA Compliance

💡 Highlights:

• Migration performance by partner providers
• Backlog and delay analysis
• SLA monitoring and execution time tracking
• Geographic distribution of service orders

⚙️ Automation:

• Automated distribution of backlog OS to partner providers
• Priority-based email notifications
• End-to-end workflow automation (analysis → decision → execution)

💼 Operational Impact:

• Reduced manual workload through automation
• Improved prioritization of service orders
• Increased operational efficiency and response time

🔎 View Project Details

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🔹 Telecom Revenue Analysis (T-Test)

📊 Analyze whether premium customers generate higher average revenue (ARPU) compared to standard customers

💼 Business Impact:

• Supports strategic decisions on upsell and pricing
• Enables better customer segmentation based on revenue behavior

🔧 Tech:

• Python, pandas, SciPy, matplotlib

📈 Results:

• Statistically significant difference identified between premium and standard customers
• Premium segment shows higher average revenue (ARPU)

💡 Business Impact:

• Supports data-driven upsell strategies
• Helps optimize revenue and customer targeting

👉 View Project

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🔹 Telecom Operations Analytics (AI + Automation)

🤖 Automate operational analysis, SLA reporting, and email delivery using AI and prompt engineering

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🔧 Tech:

• Python, Pandas
• Prompt Engineering (AI - Antigravity)
• Automation workflows
• Email automation (automated report delivery)

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📈 Results:

• Automated generation of operational reports
• Automated email delivery of reports 📧
• Faster SLA analysis and decision support
• Significant reduction in manual analysis effort

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💡 Business Impact:

• Improves operational efficiency
• Enables real-time and consistent reporting
• Reduces manual workload in report distribution
• Supports faster, data-driven decision-making in telecom operations

👉 View Project

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🔹 DuckDB SQL Analytics Portfolio

🧠 High-performance data analysis using SQL with DuckDB

🔧 Tech:

• SQL (DuckDB)
• Analytical Queries
• Data Modeling

📈 Key Metrics:

• Aggregations (SUM, AVG, COUNT)
• Window Functions
• Query Optimization

💡 Highlights:

• Fast in-memory analytics with DuckDB
• Complex queries using window functions
• Real-world analytical scenarios
• Lightweight and scalable SQL workflows

👉 View Project

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📊 GitHub Stats

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📫 Contact

💬 Feel free to reach out — I’m open to opportunities and collaborations.

• LinkedIn Preferred contact: Antonio Neto

• Email (secondary): aestevao@gmail.com

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🎯 Career Goal

To work in data-driven roles, delivering measurable business impact through analytics, automation, and machine learning.