Prakruthi

Bengaluru, Bangalore Division, Karnataka, India
Prakruthi
Experience: 0 years
Open to: Full-Time
Education: Masters
Availability: Immediate
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.

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