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I'm a results-driven Data Scientist with 4 years of experience in the financial and telecommunications industries. I specialize in machine learning, predictive modeling, and data-driven automation, with a track record of deploying models that improve sales forecasting (4% error), optimize workforce planning (2% error), and automate invoice processing (85% touchless rate). I am proficient in Python, SQL, and Azure, and I excel at turning complex datasets into actionable insights that reduce costs, boost efficiency, and support strategic decision-making. I collaborate with finance, HR, and operations teams to translate business needs into ML and automation solutions.…I'm a results-driven Data Scientist with 4 years of experience in the financial and telecommunications industries. I specialize in machine learning, predictive modeling, and data-driven automation, with a track record of deploying models that improve sales forecasting (4% error), optimize workforce planning (2% error), and automate invoice processing (85% touchless rate). I am proficient in Python, SQL, and Azure, and I excel at turning complex datasets into actionable insights that reduce costs, boost efficiency, and support strategic decision-making. I collaborate with finance, HR, and operations teams to translate business needs into ML and automation solutions.

Ludgero Diogo

Data Scientist, Developer, AI Engineer, +7

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I'm a results-driven Data Scientist with 4 years of experience in the financial and telecommunications industries. I specialize in machine learning, predictive modeling, and data-driven automation, with a track record of deploying models that improve sales forecasting (4% error), optimize workforce planning (2% error), and automate invoice processing (85% touchless rate). I am proficient in Python, SQL, and Azure, and I excel at turning complex datasets into actionable insights that reduce costs, boost efficiency, and support strategic decision-making. I collaborate with finance, HR, and operations teams to translate business needs into ML and automation solutions.…I'm a results-driven Data Scientist with 4 years of experience in the financial and telecommunications industries. I specialize in machine learning, predictive modeling, and data-driven automation, with a track record of deploying models that improve sales forecasting (4% error), optimize workforce planning (2% error), and automate invoice processing (85% touchless rate). I am proficient in Python, SQL, and Azure, and I excel at turning complex datasets into actionable insights that reduce costs, boost efficiency, and support strategic decision-making. I collaborate with finance, HR, and operations teams to translate business needs into ML and automation solutions.

Available to hire

I’m a results-driven Data Scientist with 4 years of experience in the financial and telecommunications industries. I specialize in machine learning, predictive modeling, and data-driven automation, with a track record of deploying models that improve sales forecasting (4% error), optimize workforce planning (2% error), and automate invoice processing (85% touchless rate).

I am proficient in Python, SQL, and Azure, and I excel at turning complex datasets into actionable insights that reduce costs, boost efficiency, and support strategic decision-making. I collaborate with finance, HR, and operations teams to translate business needs into ML and automation solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Portuguese

Fluent

Spanish; Castilian

Advanced

German

Beginner

Work Experience

Data Scientist at Nokia, Portugal

March 1, 2022 - Present

Lead data analysis projects optimizing resource planning, budgeting, workforce distribution, financial planning, risk management, and strategic decision-making. Developed and deployed machine learning models for employee movements, sales forecasting, and various business intelligence applications. Collaborated with cross-functional teams to gather and interpret requirements for data-driven solutions. Conducted exploratory data analysis and created and maintained data pipelines for automation. Cleaned and preprocessed raw data ensuring data quality and accuracy for analysis.

Data Scientist at Nokia

March 1, 2022 - Present

Designed and deployed end-to-end ML solutions across sales forecasting, workforce planning, and financial risk, improving prediction accuracy and reducing manual workload. Built scalable data pipelines in Azure and Databricks; implemented CI/CD workflows for deployment, monitoring, and retraining of ML models. Collaborated with finance, HR, and operations teams to align business needs with ML and automation solutions. Key achievements include Invoice Information Extraction (LLM) delivering 85% touchless automation from 10k+ multilingual invoices; Inventory Risk Prediction (AUC 0.97); Sales Forecasting (4% error); Workforce Planning (2% error); and SOX Compliance Automation via Power Apps & Power Automate.