Killian Chandeze

Advanced graduate-level program focused on quantitative methods, derivatives pricing, and computational 𝐫𝐢𝐬𝐤 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 for 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐦𝐚𝐫𝐤𝐞𝐭𝐬. • Studying 𝐬𝐭𝐨𝐜𝐡𝐚𝐬𝐭𝐢𝐜 𝐜𝐚𝐥𝐜𝐮𝐥𝐮𝐬 and 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 techniques for option pricing (Black-Scholes, binomial models) and 𝐩𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧. • Implemented 𝐌𝐨𝐧𝐭𝐞 𝐂𝐚𝐫𝐥𝐨 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 (5,000+ iterations) in 𝐏𝐲𝐭𝐡𝐨𝐧 for complex financial instruments valuation and scenario analysis. • Developed expertise in 𝐫𝐢𝐬𝐤 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐦𝐞𝐧𝐭 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Value at Risk (VaR), Credit Risk, Market Risk and stress testing methodologies. • Built real-world 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐬 using 𝐏𝐲𝐭𝐡𝐨𝐧 (𝐍𝐮𝐦𝐏𝐲, 𝐩𝐚𝐧𝐝𝐚𝐬) with live market data for quantitative analysis and backtesting.

Intensive program focused on modern .𝐍𝐄𝐓 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, Clean Architecture, and production-ready software engineering practices. • Mastered object-oriented programming (𝐎𝐎𝐏) principles (encapsulation, inheritance, polymorphism) to build scalable and maintainable .NET solutions. • Developed strong 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠 and 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 𝐝𝐞𝐬𝐢𝐠𝐧 skills, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐲 30–40% through efficient data structures and patterns. • Built 3+ full-stack applications using .𝐍𝐄𝐓 / 𝐀𝐒𝐏.𝐍𝐄𝐓 𝐂𝐨𝐫𝐞 with Clean Architecture, 𝐂𝐐𝐑𝐒 patterns and 𝐑𝐄𝐒𝐓𝐟𝐮𝐥 𝐀𝐏𝐈𝐬. • Implemented comprehensive 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 (80% + 𝐜𝐨𝐝𝐞 𝐜𝐨𝐯𝐞𝐫𝐚𝐠𝐞) using 𝐱𝐔𝐧𝐢𝐭 and 𝐌𝐨𝐪 to ensure high code quality and reliability. • Completed capstone project: autonomous agent system demonstrating advanced software engineering principles and design patterns.

Undergraduate program combining 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, and 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 with hands-on experience in programming, data pipelines, and cryptography. • Developed proficiency in 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐑, 𝐉𝐚𝐯𝐚, and 𝐒𝐐𝐋 for 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 and 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 across diverse business use cases. • Applied advanced 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐦𝐞𝐭𝐡𝐨𝐝𝐬 including 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 on datasets exceeding 𝟏,𝟎𝟎𝟎+ 𝐫𝐞𝐜𝐨𝐫𝐝𝐬. • Created 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 and interactive 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 dashboards, transforming raw data into actionable business insights for decision-makers. • Studied cryptographic algorithms (RSA, AES, Diffie-Hellman) and implemented 𝐬𝐞𝐜𝐮𝐫𝐞 𝐝𝐚𝐭𝐚 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠 in 2 academic projects. • Final year project: Built a probability-based 'Guessing Game' in 𝐏𝐲𝐭𝐡𝐨𝐧 demonstrating probability theory and algorithmic game logic.

Technical program combining 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠, 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, and 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, with hands-on experience in Cisco equipment and network configuration. • Learned 𝐈𝐏𝐯𝟒 and 𝐈𝐏𝐯𝟔 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬, including 𝐬𝐮𝐛𝐧𝐞𝐭𝐭𝐢𝐧𝐠 (𝐂𝐈𝐃𝐑/𝐕𝐋𝐒𝐌) and 𝐈𝐏 𝐚𝐝𝐝𝐫𝐞𝐬𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭. • Studied the 𝐎𝐒𝐈 𝐦𝐨𝐝𝐞𝐥 and 𝐓𝐂𝐏/𝐔𝐃𝐏 𝐭𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬 for network communication. • Configured 𝐕𝐏𝐍𝐬 and implemented 𝐭𝐮𝐧𝐧𝐞𝐥𝐢𝐧𝐠 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬 (𝐈𝐏𝐒𝐞𝐜, 𝐆𝐑𝐄) in lab environments. • Practiced 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 with 𝐟𝐢𝐫𝐞𝐰𝐚𝐥𝐥𝐬, 𝐀𝐂𝐋𝐬, and 𝐍𝐀𝐓/𝐏𝐀𝐓 configurations. • Completed hands-on projects with 𝐂𝐢𝐬𝐜𝐨 𝐫𝐨𝐮𝐭𝐞𝐫𝐬 𝐚𝐧𝐝 𝐬𝐰𝐢𝐭𝐜𝐡𝐞𝐬 using 𝐏𝐚𝐜𝐤𝐞𝐭 𝐓𝐫𝐚𝐜𝐞𝐫 for 𝟏𝟎+ 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐭𝐨𝐩𝐨𝐥𝐨𝐠𝐢𝐞𝐬.