- Schiphol Stand Capacity DeclarationLed the development of a Monte Carlo simulation in Python to assess stand requirements, optimizing operational efficiency at Schiphol Airport. This project significantly contributed to improving resource allocation and enhancing passenger experience.- Heathrow Electric Vehicle TransitionDevised a Monte Carlo method to analyse charging infrastructure needs, facilitating Heathrow's transition to electric vehicles airside. This innovative approach ensured seamless integration of electric vehicles into airport operations, aligning with sustainability goals.- Heathrow Airside Redundant EquipmentCreated a web app with FlutterFlow and Supabase to streamline Heathrow's airside equipment management, replacing Excel spreadsheets and offering a dynamic, user-friendly interface for data interaction. - Heathrow Infrastructure AnalysisConducted in-depth analyses of critical infrastructure elements like the ART, Cargo, and main tunnels at Heathrow Airport. Provided an end-to-end service, from data collection and modelling, to delivering actionable insights.

- Collaborated with a senior professor to design and conduct experiments related to Human Activity Recognition.- Leveraged tools such as PyTorch and Pandas to process and analyze large datasets, to identify patterns and extract meaningful insights.- Implemented two research papers focused on sleep detection, which involved translating complex algorithms like Domain Adversarial Learning into practical code. - Utilized PyTorch and expanded my knowledge by exploring additional frameworks like PyTorch Lightning and Weights and Biases for experiment tracking and optimization.

- Trained new hires by designing and executing comprehensive training programs and providing mentorship to ensure smooth integration and professional development.- Created dashboards that provided insights into team performance and helped identify areas for improvement. Utilized data visualization techniques to clearly communicate complex information to stakeholders.

- Led quarterly portfolio validation using reports obtained from SQL server, resulting in improved portfolio performance and risk management.- Developed advanced technical skills in Excel and SQL Server.- Contributed to the development of new underwriting guidelines and policies, resulting in improved underwriting standards and profitability for the company.

- Part of the Energy and Engineered Risk team, responsible for servicing the USCAN region and providing expert analysis to stakeholders.- Utilized RMS and in-house tools to model and analyze catastrophe risks, resulting in improved risk management and financial performance for the company.- Worked on multiple accounts that generated over $1 million in premiums, demonstrating strong business acumen and analytical skills.- Developed advanced technical skills in Excel, including advanced modelling and data analysis techniques.- Built strong relationships with clients and internal stakeholders, consistently exceeding expectations and driving business growth through effective communication and collaboration.