Dan-Marius Bradea

I am Dan, a highly adaptable and team-oriented professional who thrives in environments driven by collaboration and clear communication. I believe that efficient communication and constructive feedback build stronger teams, and I place great value on punctuality and reliability.

Throughout my career, I have demonstrated a strong work ethic across diverse roles, from public service to retail, consistently delivering results. Balancing full-time work while completing my degree exemplifies my ability to manage time, stay organized, and remain resilient. Despite personal challenges, I maintained near-perfect attendance and earned a 2:1 degree classification.

With a proactive approach and problem-solving mindset, I am committed to achieving goals and contributing to any team or project I join. I am enthusiastic about applying my skills to new challenges, always pushing through obstacles and ensuring success in all endeavours.

Partner | Uber / Bolt, London (2017 - Present)

• Achieved 80% of performance goals through demand analysis.
• Maintained a 95% on-time delivery record by optimizing routes.
• Consistently received high customer satisfaction, with a 4.97 rating maintained since 2017.

Retail Assistant | Primark, London (2016 - 2017)

• Improved restocking efficiency by 15%.
• Took on additional responsibilities like managing product displays during peak times.

Driver | Farmexim SA, Galati (2014 - 2016)

• Reduced delivery times by 60 minutes per shift through route optimization.
• Conducted regular vehicle maintenance to reduce breakdowns and improve efficiency.

Civil Servant | Galati City Hall, Galati (2008 - 2014)

• Streamlined urban planning case management, reducing commute-related inefficiencies.
• Enhanced office processes, improving response times by 30%.
• Collaborated with various departments to resolve public and private complaints efficiently.

BSc (Hons) Computer Science | London Metropolitan University, London (2021 - 2024)

• Achieved a 2:1 degree classification with a focus on software development, data analysis, and problem-solving.
• Proficient in Python, Java, SQL, and algorithm design, with hands-on experience in machine learning (ML) and natural language processing (NLP).
• Developed intelligent systems for pattern recognition and data-driven decision-making.
• Applied advanced techniques such as A (A-star)* and Breadth-First Search (BFS) for navigation challenges.
• Gained expertise in debugging, optimization, and problem decomposition through various coursework and projects