Camila (Andrea) Sarmiento-Data Scientist · AI Engineer
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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
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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
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