RAYYAN AHMED

Highly motivated and dedicated Computer Science Engineering student with a strong academic background. Proficient in programming languages such as Java and Python.Proficient communication skills as well as public speaking. Skilled in problem-solving and analytical thinking, with a keen interest in data science and database management. Seeking to apply my skills and knowledge in a challenging and dynamic environment.

Customer Service Representative with background in providing exceptional support and resolving customer inquiries. Skilled in communication, problem-solving, and maintaining positive relationships with customers. Demonstrated ability to improve customer satisfaction and loyalty through attentive service and effective issue resolution. Committed to enhancing team performance by sharing knowledge and best practices in customer service operations.

• Developed and implemented a scalable web application using Python and blockchain, resulting in a secure database for hospitals that helped in securing the data of the patients.
• Organized an online hackathon for my college during COVID-19 called Hackinnova which resulted in participants joining together from all parts of India to create and innovate ideas and solutions for problems.
• Lead for the speakers club in my college during my 2nd Year of Engineering.
• Worked as a part-time Estimate Engineer for Buine Technologies for Low Current Systems and gained insights about low current systems.
• As a Virtual Customer Support (VCS) specialist at Amazon for the North America region, I provided comprehensive support to customers via calls and emails, addressing inquiries related to retail orders and account changes. My role involved assisting customers with order management, returns, billing issues, and resolving account-related queries, ensuring a smooth and hassle-free experience.

Securing Data with AI and Block Chain 

 Created a secure database web application using HTML, CSS, Python combined with Artificial Intelligence and Block Chain implementing features such as user authentication, secure data, and functionality.

Credit Card Fraud Detection using Machine Learning

Developed a machine learning model to detect fraudulent credit card transactions using historical transaction data. Implemented classification algorithms (Logistic Regression, Random Forest) 

Evaluated model performance with metrics like Precision, Recall, and AUC-ROC to ensure high accuracy in detecting fraud.

• Cricket
• Debating
• Organizing Events
• Public Speaking
• Attending Hackathons

• English
• Hindi
• Urdu
• Arabic