Freelancer profile translated to English.
Back to original languageAbout Grisel
Data Scientist and ML Engineer graduated from a MLDM Master's degree, I combine solid IT expertise with a sharp specialization in generative AI and Natural Language Processing (NLP). My background allows me to support clients throughout the entire DATA project lifecycle, from designing Proofs of Concept (PoC) to deploying robust and actionable final products. Expert in text mining and massive corpus analysis using tools like BERT and GROBID, I collaborated with IRD to transform unstructured data into actionable strategic knowledge. In addition to technical engineering, I specialize in evaluating the fairness of language models (LLMs), bringing digital ethics expertise to data infrastructure governance. Passionate about responsible innovation, I leverage my skills for ambitious projects requiring rigorous mastery of artificial intelligence and a strategic data vision.
English
Native or bilingual
French
Conversational
Spanish
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- • •Aio SensorsData ScientistENERGY AND UTILITIESOctober 2025 - December 2025 (2 months)Remote, OR, USA–Modeled the electrical power of Combined Cycle Power Plants (CCPP) using the XGBoost algorithm, achieving an R2 accuracy of 0.9693 and outperforming benchmark hybrid models.–Optimized predictive performance, increasing R2 by 1.5 percentage points and reducing Mean Error (RMSE) by nearly 1 MW compared to traditional MARS approaches.–Containerized training and prediction environments with Docker, ensuring model reproducibility and seamless integration into deployment pipelines.
- • •Orange InnovationData Scientist InternTELECOMMUNICATIONSFebruary 2025 - August 2025 (6 months)14000 Caen, France–Assessed the sociocultural biases of 8 state-of-the-art models (Llama 3, Mistral) using social decision-making scenarios, documenting the impact of sensitive attributes on the fairness of generated outcomes.–Developed an automated Python pipeline processing 1,000 scripts per model to ensure the statistical reliability of analyzing systematic biases in code generation.–Deployed an interactive Streamlit interface integrating original metrics (WNB/SNB) to present identified discrimination patterns to business teams.
- • •IRD (HydroSciences Montpellier / TETIS Lab)Data Scientist InternRESEARCHApril 2024 - August 2024 (4 months)Montpellier, France–Structured a corpus of 2,078 segments from 69 scientific articles using GROBID, optimizing knowledge extraction on West African environmental dynamics.–Led an iterative labeling process with experts, increasing the inter-annotator agreement rate from 30% to 58% by defining a nomenclature of 196 business terms.–Implemented BERT classification models achieving a 94% recall for the automatic extraction of 10 key entity types (dates, areas, change processes).
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Education
- MSc. Machine Learning and Data Mining• •Université Jean Monnet2025MSc.
- Engineering Degree in Mechatronics Engineer• •Universidad Catolica Boliviana2021Engineering Degree in