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Camila (Andrea) Sarmiento-Data Scientist · AI Engineer

Camila (Andrea) Sarmiento - Data Scientist · AI Engineer - profile avatar
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Portugal

Check rate

Experience

Jan 2024 - Present

AI Research Scientist (PhD)

Champalimaud Foundation

Position Summary
AI Research Scientist (PhD) at Champalimaud Foundation
Industries
Healthcare
Business Areas
Information Technology
Research and Development
  • 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.
Jan 2023 - May 2026

Senior Data Scientist

Fujitsu

Position Summary
Senior Data Scientist at Fujitsu
Industries
Information Technology
Business Areas
Business Intelligence
Information Technology
Research and Development
Supply Chain Management
  • 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.
Nov 2022 - Jan 2023

Data Analyst

Vodafone Portugal

Position Summary
Data Analyst at Vodafone Portugal
Industries
Telecommunication
Business Areas
Business Intelligence
Information Technology
  • Automated reporting workflows using Python and APIs; designed and maintained KPI dashboards in Power BI for the chatbot performance team.
Feb 2022 - Nov 2022

Data Scientist

Teixeira Duarte

Position Summary
Data Scientist at Teixeira Duarte
Industries
Construction
Business Areas
Business Intelligence
Information Technology
  • 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.
Jan 2018 - Dec 2022
Colombia

Actuary & Data Scientist

Fasecolda

Position Summary
Actuary & Data Scientist at Fasecolda
Industries
Insurance
Business Areas
Business Intelligence
Finance
Information Technology
  • 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

See where this freelancer has spent most of their professional time.

Experienced in Insurance, Information Technology, Healthcare, and Construction.

Insurance
Information Technology
Healthcare
Construction
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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.

Information Technology
Business Intelligence
Finance
Research and Development
Supply Chain Management
Profile match chart

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

Spanish
Native
English
Advanced
Portuguese
Elementary

Education

Oct 2023 - Present

Universidade Nova de Lisboa (NOVA IMS)

PhD · Data Science · Lisboa, Portugal

Oct 2020 - Jun 2022

Universidade Nova de Lisboa (NOVA IMS)

MSc · Data Science · Lisboa, Portugal

Oct 2017 - Jun 2018

Universidad Antonio Nariño

Actuarial Science · Colombia

...and 1 more

Certifications & licenses

Palantir Foundry Data Engineer Associate

Statistics

Experience

Total positions 5
Experience in Insurance 5 y
Avg length 2 y 4 m
Longest experience 4 y 11 m

Global Experience

Countries worked in 1 (Colombia)
Primary country Colombia

Expertise

Recent roles AI Research Scientist (PhD), Senior Data Scientist, Data Analyst
Main industries Insurance, Information Technology, Healthcare
Main business areas Information Technology, Business Intelligence, Finance

Qualifications

Highest degree Doctorate
Certifications earned 1

Profile

Created

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 8 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.
Camila's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.
To hire Camila, click the Meet button on the profile to request a meeting and discuss your project needs.