Skills: Azure, C, CPP, Data Warehouse, Matplotlib, MSSQL, MySQL, NumPy, Oracle, pandas, Power BI, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 53
Educational Background
An MCA graduate from REVA University, Bengaluru, with a strong academic record (9.2 CGPA). Completed a BCA from Acharya Institute of Graduate Studies with an 8.5 CGPA, focusing on computer applications and data structures.
AI/ML Internship Experience
Gained hands-on experience as an AI/ML Intern at Aivolved Technologies (Mar 2024 – Sept 2024), specializing in object detection using YOLO and CNN. Optimized model performance and deployed AI-based computer vision models, achieving a 20% improvement in quality inspection accuracy. Also interned at CODSOFT (July 2024 – Aug 2024), developing and deploying machine learning models for applications such as movie genre classification, customer churn prediction, fraud detection, and email spam filtering.
Technical Skills
Proficient in Python, C, C++, and machine learning techniques such as Convolutional Neural Networks (CNN), YOLO, and deep neural networks. Experienced with tools like SQL, PL/SQL, Power BI, and Roboflow, along with operating systems like Windows and Mac.
Key Projects
Developed several impactful projects, including a language detection system achieving 97% accuracy, an automated YOLO-based quality inspection system that improved defect detection by 20%, and a student report card application using Python and Tkinter, which handled data for over 100 students.
Certifications
Holds certifications in Microsoft Azure AI Fundamentals, Microsoft Azure Fundamentals, and Cisco Certified Support Technician Cybersecurity, enhancing proficiency in cloud technologies and cybersecurity.
Career Objective
Eager to leverage expertise in AI/ML, computer vision, and machine learning to collaborate with cross-functional teams and drive technology-driven solutions in dynamic environments. Proven track record of delivering innovative applications with measurable impacts in real-world settings.