Ana (Maria S.) Magalhaes-Data Scientist Consultant - AI Engineer
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Experience
Data Scientist Consultant - AI Engineer
EDP Portugal
- Developed and deployed generative AI chatbots for compliance, auditing, real estate asset management, and technical O&M using LLMs, NLP, and RAG
- Tech stack: Azure AI services (Computer Vision, Azure Foundry, AI Search, Azure OpenAI, Azure Functions, Copilot Studio, Blob Storage, Azure AD, Azure Monitor, Azure key vault), LangChain, LangGraph, GPT-4, Python (PyMuPDF, pdfplumber, pytesseract, pandas, numpy, langchain, openai), prompt engineering, deployment via Azure Functions and App Service, CI/CD with GitHub Actions
- Web scraping automations for data collection (Selenium and BeautifulSoup)
- Refactored data pipelines and dashboards (Power BI)
- ETL and Monte Carlo simulation for equipment failure prediction (Databricks, PySpark, Python)
Data Scientist
Grupo Boticário
- Developed all the steps of machine learning forecasting models for retail sales and demand planning, from data collection and preprocessing to modeling and deployment
- Led ETL pipelines for consolidating data in a unified dataset across supply chain, retail sales, demand forecasts, marketing campaigns, pricing, distribution centers, industry operations, and financial indicators, translating business rules into programmatic logic
- Led and developed data pipelines for predicting stock levels in retail, industry, and distribution centers, and for calculating and standardizing the company’s ABC revenue curve
- Tech stack: Python (pandas, scikit-learn, LightGBM, optuna, among others), SQL, GCP (BigQuery, Cloud Functions, Vertex AI), CI/CD, Git
Data Scientist
GetNinjas
- Developed a pricing recommendation model using K-means clustering to segment products and support strategic pricing decisions
- Tech stack: Python (pandas, scikit-learn, matplotlib, seaborn), SQL, Power BI
Research Scientist – Ph.D. & M.Sc.
UNICAMP
- Developed different machine learning models to optimize oil formulations for applications in the food, cosmetics, and energy industries using Python (scikit-learn, pandas, NumPy), MATLAB, artificial neural networks, random forest, statistical modeling, DSC, SHAP
- Developing a conversational GenAI copilot to assist in technical decision-making related to oil formulation processes and industry-specific regulations for biodiesel and food using Ollama, FAISS, RAG, Python (Streamlit, LangChain), prompt engineering
Data Analyst
Cory Indústria de Produtos Aliment́ıcios
- Analyzed consumer complaint data and supported continuous improvement initiatives in chocolate and candy production processes
- Tools: Microsoft Excel, Quality Management, Quality Assurance, Quality Auditing, Data Analysis, PDCA methodology
EHS Engineer Internship Trainee
Sede Environnement (Veolia)
- Supported sustainability and process optimization projects in wine co-product valorization
- Involved in documentation and audits related to ISO 9001, ISO 14001, ISO 22000, and ISO 45001 using Excel and reporting templates
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Food and Beverage, Energy, Cosmetics, and Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Product Development, Research and Development, Operations, Supply Chain Management, and Quality Assurance.
Summary
Data Scientist with a background in EHS, engineering, and applied research. Experience across the cosmetics, energy, and food sectors, e-commerce with applications in pricing, retail, oil R&D, compliance, and O&M. Developed data-driven solutions, machine learning models, and generative AI chatbots.
Languages
Education
UNICAMP
Ph.D., Food Engineering · Food Engineering · Brazil
UNICAMP
M.Sc., Food Engineering · Food Engineering · Brazil
ENSMAC
Specialization, EHS Management · EHS Management · France
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Ana is based in Senhora da Hora, Portugal.
Ana speaks the following languages: Italian (Native), Portuguese (Native), English (Advanced).
Ana has at least 11 years of experience. During this time, Ana has worked in at least 5 different roles and for 6 different companies. The average length of individual experience is 2 years and 9 months. Note that Ana may not have shared all experience and actually has more experience.
Based on recent experience, Ana would be well-suited for roles such as: Data Scientist Consultant - AI Engineer, Data Scientist, Research Scientist – Ph.D. & M.Sc..
Ana's most recent position is Data Scientist Consultant - AI Engineer at EDP Portugal.
In recent years, Ana has worked for EDP Portugal, Grupo Boticário, and UNICAMP.
Ana is most experienced in industries like Food and Beverage, Energy, and Cosmetics. Ana also has some experience in Information Technology.
Ana is most experienced in business areas like Business Intelligence, Product Development, and Research and Development. Ana also has some experience in Operations, Supply Chain Management, and Quality Assurance.
Ana has recently worked in industries like Energy, Cosmetics, and Food and Beverage.
Ana has recently worked in business areas like Product Development, Research and Development, and Business Intelligence.
Ana holds a Doctorate in Food Engineering from UNICAMP, a Master in Food Engineering from UNICAMP and a Bachelor in Food Engineering from Federal University of Viçosa.
The availability of Ana needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 26 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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