About Me
Hi, Myself Abhishekagouda Patil, a B.Tech graduate in Computer Science and Information Technology from Reva University, Bangalore. I am a motivated and detail-oriented individual with strong problem-solving abilities and a keen interest in building practical, technology-driven solutions. Throughout my academic journey, I have worked on projects involving machine learning, web development, and database management, which have strengthened my analytical thinking and technical foundation. I am eager to apply my knowledge in real-world environments and continuously enhance my technical and professional skills.
I am passionate about learning emerging technologies and contributing to innovative projects in the field of computer science and software development. I enjoy collaborating in team environments, adapting to new challenges, and delivering efficient solutions that create value. My goal is to grow as a software professional by gaining hands-on experience, contributing positively to organizational goals, and continuously improving my skills while keeping pace with evolving industry trends.
Education
B. Tech in Computer Science and Information Technology
Reva University, Bengaluru, Karnataka, India
- | Overall CGPA: 8.27
Diploma in Computer Science and Engineering
Govt Polytechnic Hanagal, Haveri, Karnataka, India
- | Percentage: 71.2%
SSLC
GHS Bommanahalli, Haveri, Karnataka, India
| Percentage: 71.84%
Core Technical Skills
Languages
Certifications
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Complete JAVASCRIPT with HTML5,CSS3 By Udemy
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Understanding Basic SQL Syntax by Coursera
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Build a free website with WordPress by Coursera
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Cisco Certified Support Technician Cybersecurity
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Google AI Essentials By Coursera
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Introduction to Cloud Computing by Infosys Springboard
Projects
Portfolio Optimization Using LSTM and Machine Learning
Developed a portfolio optimization system using LSTM to forecast stock prices and allocate assets efficiently. Utilized 5 years of Nifty 50 data to optimize returns and visualize results through a web-based interface.
Landmark Detection and Prediction using CNN
Built a Convolutional Neural Network (CNN) model to detect and predict facial/keypoint landmarks from images. Processed image datasets and trained deep learning models for accurate feature localization and visualization.
Parking Management System Using PHP MySQL and phpMyAdmin.
Developed a Parking Management System using PHP, MySQL, and phpMyAdmin, facilitating efficient parking space management, reservation handling, and secure payment processing.
Personal Portfolio Website
Designed and developed a personal CV website to showcase projects, skills, and experience with responsive design. Built using HTML, CSS, and JavaScript for smooth navigation and integrated download options for resume and portfolio.