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

📍 Brazil

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.

• 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

• SLA Monitoring
• Backlog Management
• Operational KPIs

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

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

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

• 🎓 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
  • AWS QuickSight: Dashboards Profissionais - Midori Toyota

• 🎓 LinkedIn Learning

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

📊 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

📊 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

📊 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

📊 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

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

🔧 Tech:

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

📈 Results:

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

💡 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

📊 Business-oriented analytics project transforming nested Google Analytics data into actionable business insights using BigQuery SQL.

🔧 Tech:

• Google BigQuery
• SQL
• ARRAY
• STRUCT
• UNNEST()
• CTEs

📈 Key Analyses:

• Revenue Analysis
• Conversion Analysis
• Landing Page Performance
• Acquisition Channel Performance
• Device Conversion Analysis
• User Engagement Analysis

💡 Highlights:

• Analysis of nested Google Analytics datasets
• Practical use of ARRAY, STRUCT and UNNEST
• Revenue attribution and conversion insights
• Business-focused analytics and storytelling
• Professional project documentation and architecture design

🏆 Business Insights:

• Referral channels achieved the highest conversion efficiency
• Homepage was the primary revenue entry point
• Desktop users generated most purchasing sessions
• Traffic volume did not necessarily translate into conversions

👉 View Project

☁️ Modern cloud-based Business Intelligence solution using Google BigQuery and Looker Studio.

🔧 Tech:

• Google BigQuery
• Looker Studio
• SQL
• Cloud Analytics

📈 Features:

• Interactive dashboard
• KPI cards
• Cloud-based analytics
• SQL Views
• Calculated Fields
• Dynamic filters

💡 Highlights:

• Fully cloud-native BI solution
• Professional dashboard design
• BigQuery + Looker Studio integration
• Modern alternative to desktop BI tools
• SQL transformations and business rules implementation

👉 View Project

🚚 Solução analítica completa para monitoramento operacional e financeiro de uma transportadora utilizando PostgreSQL (Neon), SQL Analytics e Looker Studio.

🔧 Tech:

• PostgreSQL (Neon)
• SQL
• Looker Studio
• GitHub

📈 Key Analyses:

• Revenue by Region
• Operational Profit by Region
• Top Drivers
• Top Destinations
• Time Series Analysis
• Operational Margin Analysis

💡 Highlights:

• 15 documented SQL analyses
• SQL Views for analytics
• Window Functions (LAG, RANK, SUM OVER)
• KPI development
• Business-focused dashboard

🏆 Business Impact:

• Identification of top-performing regions
• Operational profitability monitoring
• Driver performance analysis
• Strategic decision support

👉 View Project

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

• LinkedIn Preferred contact: Antonio Neto

• Email (secondary): aestevao@gmail.com

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