Position: Data Scientist | Python Developer
Category: Python
English level: upper
Years of experience: 2


In my role as a data scientist in the banking industry, I have completed several projects related to cross-selling and client acquisition. These projects involved developing machine learning models to identify potential clients for targeted marketing campaigns, as well as predicting customer behavior to improve the bank's overall customer experience. To accomplish these tasks, I primarily used Python and SQL for data manipulation and analysis, as well as Grafana and Dataiku for visualizing and managing the machine learning pipeline.

Currently, my role on the team is to support various departments within the bank with data-driven decision-making processes. This involves collaborating with business stakeholders to understand their needs, designing and implementing data-driven solutions, and presenting findings to stakeholders in an accessible and understandable way. I work closely with other members of the data science team to ensure that our models are accurate, reliable, and scalable.

Moving forward, I would like to continue improving my skills in data visualization and storytelling, as well as exploring new technologies and approaches for machine learning and data analysis. I believe that by staying up-to-date on the latest trends and tools in the industry, I can provide even more value to the bank and help drive its success.
Micromanagment
Bureaucracy