Sara Bahadori

Data Scientist / Data Analyst with a double Master’s degree in Data Science from Université Paris Cité and professional experience in both FinTech and the pharmaceutical industry (Roche France). I specialize in transforming complex data into actionable insights and business value through advanced analytics, machine learning, and data visualization.

At AraxaTech, I worked on large-scale transaction data to automate analysis pipelines (Python, SQL), reducing processing time by 40%. I developed real-time KPI dashboards for banking clients using Power BI and SQL, performed customer segmentation using clustering techniques that improved marketing profitability by 7%, and implemented anomaly detection models based on statistical analysis. I also contributed to pricing optimization using regression models.

During my Data Scientist experience at Roche (Insights & Analytics – Customer Engagement), I built predictive models to analyze and enrich email datasets using Python and NLP techniques, generating an estimated €600K in business value. I also analyzed drivers of customer engagement using machine learning models (XGBoost) and evaluated the impact of multichannel marketing strategies on market share.

My technical stack includes Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face), SQL, and R, with strong skills in machine learning, NLP/LLMs, statistical modeling, and KPI visualization (Power BI, Matplotlib, Seaborn).

I am particularly interested in projects involving predictive analytics, NLP/Generative AI, customer analytics, and data-driven decision support.