As a Senior Data Strategist, I took on significantly more responsibility in the definition, management, and execution of projects that used data to guide the strategy of companies. I played a critical role in helping companies realize the value of their data, and I used my skills in data science, data engineering, and machine learning to design and implement innovative solutions. This experience helped me grow both as a leader and as a problem-solver, and I gained valuable experience in managing teams and communicating effectively with clients.

As a Data Strategist Analyst, I worked on various projects for companies in the Retail and Pharmaceutical sectors, where I leveraged data to develop strategic initiatives such as basket analysis, identifying potential opportunities, and identifying key opinion leaders. These initiatives generated significant value for the companies and helped them make data-driven decisions. Additionally, this experience helped me grow professionally and improve my communication skills with clients.

As a Risk Analyst in the Capital Markets sector, I have been involved in several credit and market risk projects. My responsibilities have included designing and delivering project requirements and tasks, leading teams of 4-5 people, and handling all client communication.I have been accountable for the design and implementation of ETL processes used for calibrating the probability of default. I have also been responsible for implementing new interest rate curves for product valuation purposes.

We reported the estimation of 12-B background using the data samples corresponding to 384 days of runtime provided by the Double Chooz experiment (neutrino mixing angle experiment) and implementing the method presented in it, we determined the rate of this background for future publications of the Double Chooz collaboration.