• Participated in six diverse audit missions, providing data science insights and solutions in areas including Liability, G10, FXO Hybrids, KYC, and AML.• Applied various data science techniques and models such as Isolation Forest for anomaly detection, Process Mining for workflow analysis, Large Language Models (LLMs) for text analysis, and Benford's Law for fraud detection.• Extracted data through APIs and web scraping from both internal sources, including legacy systems, and external sources such as financial regulators.• Worked on enhancing the data culture within the department by conducting Python classes for auditors and promoting best practices such as code reviews, secrets and data security management, and the usage of GitHub.

• Redesigned and automated the operational dashboard generation process, integrating dynamic sources with Python and Dash.• Contributed to risk assessments and organized the audit plan/budget arbitration for 2021 and 2022.• Organized operational committees and monitored audit teams budget during their missions.• Taught the job responsibilities and Python programming to a new recruit, ensuring a smooth onboarding process and swift integration into the team.

• Analyzed and modeled assets of the company in a SQL Server database to produce Solvency II reports.• Analyzed functional needs and managed their implementation with developer teams.

• Designed and deployed real-time data architecture to process factory sensor data and feed production dashboards.• Deployed an image recognition AI for detecting defective products in a production line.• Extracted and aggregated data from multiple sources to meet client needs for decision making using SQL and PowerBI.

• Implemented new technologies to improve the performance and reliability of the network (VRF, Orion NCM).• Developed tools to help maintain the network (Linux, Python).

• Developed a Python and Flask-based application to automatically generate consumer bills based on consumption data.• Created a Python script to automatically alert technicians when a phone line goes down, minimizing client downtime.