Prediction of Cardiac Arrhythmia
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Summary
Developed a machine learning model to predict cardiac arrhythmias using UCI Machine Learning Repository ECG data for early detection of heart rhythm abnormalities.
About
Highly motivated Bachelor of Technology candidate specializing in CSE (AIML), graduating June 2024, with a strong foundation in data science, machine learning, and cybersecurity. Developed and deployed ML models achieving 98% accuracy in cardiac arrhythmia prediction and parking space detection. Eager to leverage analytical skills and practical experience in cutting-edge technologies to contribute to data-driven decision-making and robust system security in a dynamic professional environment.
Work
3CORTEX
|Intern
Hyderabad, Telangana, India
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Summary
Analyzed a year's worth of data using advanced data science techniques to generate valuable insights and support informed decision-making for forecasting and fraud detection.
Highlights
Completed comprehensive training in data science and cloud solutions, gaining proficiency in cutting-edge technologies and tools relevant to the field.
Applied acquired knowledge to analyze 12 months of real-world data, generating valuable insights for short-term and long-term forecasting and identifying potential fraudulent data.
Utilized data science techniques to extract meaningful patterns and trends from datasets, enabling informed decision-making for daily, weekly, and monthly operational planning.
Crafted and presented clear, concise reports summarizing findings and recommendations, directly contributing to data-driven decision-making processes within the organization.
CISCO
|Intern
Hyderabad, Telangana, India
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Summary
Supported cybersecurity initiatives by applying best practices and conducting security assessments to protect networks and systems from various threats.
Highlights
Completed comprehensive modules on Introduction to Cybersecurity, Cybersecurity Essentials, and Packet Tracer, gaining foundational knowledge in network security principles and practices.
Configured and simulated networks using Packet Tracer for simulation and troubleshooting, demonstrating hands-on experience in network security protocols.
Applied cybersecurity best practices to protect networks and systems from various threats, enhancing system resilience and mitigating vulnerabilities.
Conducted security assessments to identify and mitigate potential vulnerabilities, contributing to enhanced system security posture.
Education
Kakatiya Institute of Technology and Sciences
Warangal, Telangana, India
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Bachelor of Technology
CSE(AIML)
Grade: 8.0/10.0
Courses
Artificial Intelligence
Machine Learning
Certificates
Data Science and Cloud Solutions
Issued By
3Cortex
Cybersecurity
Issued By
Cisco Networking Academy
Introduction to Machine Learning
Issued By
Swayam NPTEL
Skills
Programming Languages
Python, Java.
Database Management
SQL.
Web Development
HTML, CSS, Bootstrap, JavaScript, Node.js.
Machine Learning Frameworks
Keras, TensorFlow, scikit-learn.
Data Analysis & Visualization
Pandas, NumPy, Matplotlib, Data Preprocessing, Feature Extraction, Data Analysis, Data Visualization, Time Series Forecasting.
Deep Learning
Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks.
Cybersecurity
Network Security, Vulnerability Assessment, Threat Mitigation, Packet Tracer, Security Best Practices.
Computer Vision
OpenCV, Image Processing, Grayscale Conversion, Gaussian Blurring, Edge Detection, Region of Interest (ROI) Segmentation, Contour Detection, Binary Thresholding.
Projects
Parking Lot Space Detection
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Summary
Developed a real-time parking lot space detection system using computer vision and image processing techniques to monitor available spaces.