Lina Faik

I help companies harness the power of AI to drive growth and innovation. ✓ BIOLEVATE – 2.5 years — Biotech Designed and deployed an agentic LLMOps pipeline transforming raw omics data into publication-grade analysis reports, combining statistics with LLM-driven reasoning, automated evaluation, and evidence tiering. Agentic LLMs · RAG · LLM Evaluation · Bioinformatics · LLMOps ✓ DECATHLON – 2 years – Retail Developed an in-store recommender system to tailor assortments to individual store profiles, built shortage forecasting models on high-volume data, and optimised safety stock levels. Recommender Systems · Time Series Forecasting · dbt · Databricks ✓ BIG MAMMA – 8 months – Hospitality Built the yield management stack across 30+ restaurants, combining demand forecasting, table rotation analytics, and pacing optimisation and an AI agent for automated restaurant audits. Time Series Forecasting · AI Agents · Optimisation · BigQuery · MLOps ✓ L’OREAL – 8 months – Consumer Goods Developed a multilingual LLM annotation process and an ML classifier routing customer reviews to the right business topics at scale. Multilingual LLMs · NLP · LLM Annotation · MLOps · GCP ✓ AZURA – 1 year – Agriculture Delivered a weekly crop harvest forecasting engine across 51 farms, combining predictive modelling and, SHAP-based explainability. Time Series Forecasting · SHAP · Airflow · Power BI · ML Pipelines ✓ OTHER CLIENTS Siteline: Applied research on for AI-powered search visibility (GEO) Little Cigogne: Recommender system for an e-commerce platform Yousign: Churn prediction models for a SaaS e-signature platform Insikt Intelligence: GNN-based misinformation detection on social networks

I write technical blog posts on data science with a focus on real-world applications. 👉 Check the latest blog posts here: linafaik.medium.com

Dataiku is an end-to-end data science platform that brings together all stakeholders within a company to create high-impact industrialized projects. ✔️ Help companies in the design and implementation of their data science projects by conducting coaching sessions and co-developing with them. ✔️ Develop projects leveraging machine learning techniques across several industries, including banking, transportation, healthcare, and public institutions. ✔️ Build pre-packaged projects on industry-proven use cases as well as other platform add-ons to accelerate value creation for customers.