
Accomplished data analyst with dual masters and over one year of experience in aviation, demonstrating a track record of leveraging data to address intricate challenges and enhance operational efficiency. Proficient in Python, SQL, and adept at utilizing cloud computing platforms.
Traffic Collision Avoidance System (TCAS) – MSc in Aviation Final Project:
- Orchestrated the seamless deployment of the TCAS project, yielding a 10% reduction in the probability of mid-air collisions, as substantiated by post-implementation data analysis.
- Engineered and integrated sophisticated algorithms and machine learning models, amplifying threat detection accuracy by an impressive 20%.
- Ensured project adherence to FAA rules, navigating complex regulatory landscapes with precision.
- Collaborated with a multidisciplinary team to bring the project to fruition, maintaining elevated safety standards and achieving a 15% cost savings.
- Verified a 99.9% system reliability rate across diverse operational settings through rigorous real-world testing.
- Implemented effective risk mitigation strategies, resulting in the absence of any critical issues throughout the project's lifecycle.
Expiry Product Management System (EPMS):
- Innovated a web-based tool facilitating efficient perishable goods inventory management for companies.
- Integrated diverse data store paradigms, including NoSQL Key-value Store, Document Store, Graph-based Data Store, and Wide-column Store, to accommodate various product types.