Highly passionate 3rd-year Computer Science Engineering student with a 9.4 SGPA, holding an AWS Certified Cloud Practitioner certification. Proven ability to translate academic knowledge into practical solutions through impactful internships and innovative projects, recognized among the Top 10 in ideathons and hackathons. Eager to leverage strong technical skills in Python, Data Science, and Full Stack Development to contribute to cutting-edge tech initiatives and drive growth in the industry.
Data Science Intern
Bengaluru, Karnataka, India
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Summary
As a Data Science Intern at EliteTech, built and deployed real-world data science projects, focusing on predictive maintenance.
Highlights
Developed a predictive maintenance system for industrial equipment, leveraging Temporal Graph Neural Networks (TGNN) to model component interactions and forecast failures.
Built a robust Machine Learning model using Pytorch Geometric and DGL for processing temporal graph data to predict maintenance needs.
Processed complex time-series data and performed advanced feature engineering, enhancing model accuracy for real-world applications.
Data Science Intern
Bengaluru, Karnataka, India
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Summary
Recognized as a star performer, translated academic knowledge into practical solutions by designing and developing a comprehensive learning platform.
Highlights
Designed and developed LearnSmart, a responsive web platform providing curated learning resources, top YouTube links, interview preparation materials, and internship opportunities for engineering students.
Integrated a custom AI chatbot to efficiently assist users with queries, improving access to information and enhancing user engagement.
Implemented a real-time email support contact form using EmailJS for seamless communication, ensuring prompt user support.
Awarded 'Star Performer' for exceptional performance and demonstrated skills during the internship tenure.
Data Science Intern
Bengaluru, Karnataka, India
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Summary
Gained hands-on experience as a Data Science Intern, contributing to the development of a data science project.
Highlights
Acquired one month of practical experience in the data science lifecycle, focusing on project creation and implementation.
Applied foundational data science concepts to solve practical problems, enhancing problem-solving and analytical skills.
Contributed to a data science project, developing initial skills in data processing, analysis, and model conceptualization.
Participant
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Summary
Engaged in sustainability practices and discussions around eco-friendly technologies and environmental responsibility.
Highlights
Actively participated in workshops focused on sustainability practices and eco-friendly technologies.
Engaged in discussions on environmental responsibility, contributing to a deeper understanding of sustainable solutions.
Demonstrated commitment to environmental stewardship through active learning and participation in eco-conscious initiatives.
Volunteer & Coordinator
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Summary
Coordinated logistics and assisted in organizing tech competitions, enhancing teamwork and event management skills.
Highlights
Coordinated logistics for major technical festivals and college events, ensuring smooth operations for over 500 participants.
Assisted in organizing multiple tech competitions, contributing to successful event execution and participant engagement.
Enhanced teamwork and event management skills through active participation and leadership in various organizational tasks.
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B.E.
Computer Science Engineering
Grade: 9.4 SGPA
Courses
Data Structures & Algorithms
Full Stack Development
Data Science
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PU
Pre-University Course
Grade: 90%
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SSLC
Secondary School Leaving Certificate
Grade: 94.24%
Awarded By
Energze 2.0: AC-DC Hybrid Leap for EV Evolution
Achieved finalist status in the 'Energze 2.0' Hackathon for proposing a hybrid EV system integrating DC generators and gear mechanisms to enhance energy efficiency and mileage.
Awarded By
AI for Social Good
Participated in the 'AI for Social Good' Ideathon, designing an AI-powered Blind Navigation System using RFID and real-time voice feedback to support visually impaired individuals.
Awarded By
International Conference
Received the 'Best Presented Paper Award' at an international conference for the research paper 'Predictive Maintenance of Industrial Equipment using Temporal Graph Neural Networks (TGNN)'.
Awarded By
College/City Event
Successfully completed a marathon promoting health, fitness, and community engagement.
Awarded By
Self-driven Initiative
Completed a self-driven 100 Days Coding Challenge, solving Data Structures and Algorithms problems from top tech companies (Arrays, Trees, DP, Graphs), demonstrating strong problem-solving skills.
Published by
International Conference
Summary
Presented a research paper leveraging temporal and relational data for fault detection in industrial equipment, showcasing advanced ML and data processing techniques.
Issued By
Amazon Web Services (AWS)
Python, C.
Data Science, AI/ML, PyTorch, Prompt Engineering, matplotlib, numpy, Power BI, AI-expiry prediction, ML framework, TGNN, Graph representation learning, Time-series data.
Web Development, Fullstack, React.js, Tailwind CSS, React Router, Node.js, Express.js, Chatbot-ChatGPT web integration, EmailJS.
AWS, Azure, Cloud (dynamic tag-location mapping).
Embedded Systems, Microcontrollers, DC Generator System, IoT Layer-Sensors, RFID tags, arduino.
Git, GitHub, CAD Tools, MATLAB-Simulating, PowerBI-performance visualization, Voice-enabled systems, Web tech for dashboard, Text-to-speech APIs, Microcontroller programming, Database Management, Pytorch Geometric, DGL.
UI-UX design.
Data Structures & Algorithms.
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Summary
Designed and developed a responsive web platform tailored for Engineering students to access curated learning resources, top YouTube links, interview prep materials, and internship opportunities.
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Summary
Designed to revolutionize EV's by enhancing their range efficiency and sustainability through continuous energy recycling.
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Summary
Developed a smart hub addressing real-world issues of daily household food waste, aiming to reduce 1.3 billion tons of food wasted annually.
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Summary
Created an assistive navigation system to empower visually impaired individuals, providing real-time location-based audio alerts.
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Summary
Developed a predictive maintenance system for industrial equipment using Temporal Graph Neural Networks (TGNN).