Blanche D.

I am a business school student with a strong interest in finance, analytics, and data-driven decision-making, seeking analytical missions where I can actively leverage my technical skills and continuously challenge myself.

Through both academic and professional experiences, I have developed solid capabilities in advanced Excel, SQL, R, and Python, applied to concrete business and financial problems. During an internship, I notably developed an automation algorithm to optimize the client–practitioner matching process, improving operational efficiency and data exploitation.

As part of my fintech and financial markets coursework, I worked on a wide range of analytical projects, including logistic regressions, OLS regressions, Cox proportional hazards models, summary statistics, correlation analyses, and studies on relationships between cryptocurrencies. I also conducted more exploratory data projects, such as analyzing Google Trends weekly indices, generating Google Earth Engine images to assess economic activity through night-time light intensity, and performing text-based analyses including word cloud generation, sentiment analysis, Fog Index computation, and cosine similarity measures. Some projects additionally involved the use of large language models (LLMs) for data analysis and structuring purposes.

I am particularly interested in missions involving data analysis, reporting, modeling, and analytical support in finance and business contexts. Curious, rigorous, and results-oriented, I adapt quickly to project needs and aim to deliver reliable, structured, and value-adding contributions on junior-level analytical assignments.