Muhammed Afnan F

VEUZ CONCEPTS Pvt.ltd

• Data Analysis and Visualization. • Linked the Amazon S3 bucket to Amazon QuickSight for data analysis and visualization. • Developed interactive visuals for delving into sales trends, product pricing, and brand performance. • Achievements: Compared prices of various top-selling products, scrutinized leading brands, and pinpointed sellers with the highest number of top-selling products.

AWS

Developed a model to accurately identify and detect diseases in tomato plants using deep reinforcement learning techniques. The model analyzes leaf images to detect common plant diseases, aiming to assist farmers in early diagnosis and treatment. Achieved high accuracy in disease detection, contributing to improved agricultural productivity and plant health management.

Python · DRL · CNN · DL

Completed a job simulation involving building a hypothetical new VPN product for Verizon’s Cloud Computing team. Used command line Python to test whether Verizon’s VPN met the cloud-native traits, i.e. redundancy, resiliency and least-privilege. Researched approaches to achieve application security and communicated insights in a PowerPoint Presentation

Agile Environment · Coding · Python · Concept Demonstration · Internal Communication · Research · Cloud

Implemented an end-to-end • CI/CD pipeline for • Java based application using Jenkins declarative pipelines. • As part of pipeline, I have implemented various stages such as – Unit Testing, • Static code analysis, SAST, DAST, Creation of Docker Images. • Deployment on Kubernetes platform using Argo CD

- Crafted an API specification for security risk escalation feature, enabling seamless user interaction for risk assessments, customization, and removal, enhancing overall security infrastructure. - Facilitated smooth transition to Microsoft Teams platform by collaborating with senior members, ensuring comprehensive user migration, access compliance, and role-based management. - Actively contributed to project success by assisting senior members in ensuring quality-driven, timely project delivery. Developed a comprehensive proposal outlining the end-to-end implementation of customer segmentation through data clustering. - Provided instrumental support to Digital and Innovation team, delivering vital insights and hands-on aid for seamless integration of AI chatbot technology within FIL's platform, serving global workforce and clientele.