Camila (Andrea) S.-Data Scientist · AI Engineer
Check rate
Experience
AI Research Scientist (PhD)
Champalimaud Foundation
- Built an LLM-based extraction pipeline (Pydantic structured outputs, SapBERT-based entity normalization) to convert unstructured oncology pathology reports into structured data, benchmarking models including OpenBioLLM and Mistral-Nemo across three cancer types, and designing a risk-stratified hybrid workflow to balance accuracy and cost for downstream analytics.
- Designed and built end-to-end deep learning pipelines to predict clinical outcomes from high-resolution medical images, combining state-of-the-art vision models with custom aggregation strategies.
- Benchmarked and fine-tuned large-scale vision foundation models (1B+ parameter pretrained models) for medical image classification, achieving strong predictive performance on a challenging clinical dataset.
- Applied explainable AI techniques to help clinicians understand and trust model predictions, bridging the gap between data science and medical decision-making.
Senior Data Scientist
Fujitsu
- Adapted and extended an existing LLM-powered chatbot (Python, Azure, LangChain, OpenAI APIs) for enterprise teams, analyzing the response-generation logic and customizing it to support knowledge access and reduce onboarding friction
- Led research and feasibility analysis for an AI Service Desk assistant, mapping existing workflows, identifying automation opportunities, and defining how a bot could support IT support teams.
- Built demand forecasting models (XGBoost, LightGBM, Random Forest) for high-volatility hardware components, improving accuracy by 5% and reducing risk of contractual penalties from supply shortfalls.
- Automated data extraction pipelines from unstructured sources (PDFs, PowerPoint), saving significant manual processing time for analytics teams.
Data Analyst
Vodafone Portugal
- Automated reporting workflows using Python and APIs; designed and maintained KPI dashboards in Power BI for the chatbot performance team.
Data Scientist
Teixeira Duarte
- Built end-to-end ETL pipelines using PySpark and Databricks to process and transform large-scale datasets; developed Power BI dashboards with DAX for business reporting.
- Developed an IT ticket volume forecasting model (RNN, XGBoost, and classical ML) to predict monthly incoming IT support requests, enabling proactive resource planning.
Actuary & Data Scientist
Fasecolda
- Built machine learning and actuarial models (GAM, GLM, Gompertz, Random Forest, SVM, Neural Networks) for mortality analysis and insurance reserve estimation, directly influencing pricing decisions.
- Developed a Python tool for automated reserve calculation using chain-ladder and Bornhuetter-Ferguson methods, replacing a manual process.
Industry experience
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Experienced in Insurance, Information Technology, Healthcare, and Construction.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Finance, Research and Development, and Supply Chain Management.
Summary
Data Scientist with 5+ years of experience building production-grade AI systems, predictive models, and LLM-powered products. Proven track record of delivering end-to-end machine learning solutions, from raw data to deployed applications, across healthcare, telecoms, insurance, and enterprise tech. Currently combining industry experience at Fujitsu with PhD-level research in deep learning applied to medical imaging, bringing both scientific rigor and practical delivery skills to every project.
Skills
- Python
- Pytorch
- Sql
- Pyspark
- Scikit-Learn
- Llms & Langchain
- Azure / Openai Apis
- Xgboost / Lightgbm
- Deep Learning
- Power Bi
- Hugging Face
- Databricks
- Computer Vision
- Explainable Ai
- Git / Ci-Cd
Languages
Education
Universidade Nova de Lisboa (NOVA IMS)
PhD · Data Science · Lisboa, Portugal
Universidade Nova de Lisboa (NOVA IMS)
MSc · Data Science · Lisboa, Portugal
Universidad Antonio Nariño
Actuarial Science · Colombia
Certifications & licenses
Palantir Foundry Data Engineer Associate
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Camila speaks the following languages: Spanish (Native), English (Advanced), Portuguese (Elementary).
Camila has at least 9 years of experience. During this time, Camila has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 2 years and 9 months. Note that Camila may not have shared all experience and actually has more experience.
Based on recent experience, Camila would be well-suited for roles such as: AI Research Scientist (PhD), Senior Data Scientist, Data Analyst.
Camila's most recent position is AI Research Scientist (PhD) at Champalimaud Foundation.
In recent years, Camila has worked for Champalimaud Foundation, Fujitsu, Vodafone Portugal, Teixeira Duarte, and Fasecolda.
Camila is most experienced in industries like Insurance, Information Technology, and Healthcare. Camila also has some experience in Construction and Telecommunication.
Camila is most experienced in business areas like Information Technology, Business Intelligence, and Finance. Camila also has some experience in Research and Development and Supply Chain Management.
Camila has recently worked in industries like Insurance, Information Technology, and Healthcare.
Camila has recently worked in business areas like Information Technology, Business Intelligence, and Finance.
Camila holds a Doctorate in Data Science from Universidade Nova de Lisboa (NOVA IMS), a Master in Data Science from Universidade Nova de Lisboa (NOVA IMS) and a Bachelor in Mathematics from Universidad Distrital Francisco José de Caldas.
Camila has 1 certificate: Palantir Foundry Data Engineer Associate.
The availability of Camila needs to be confirmed.
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