Ayush Tyagi
Full Stack Developer
New Delhi
Summary
Experienced in Machine Learning and Web Development, with a proven track record of building responsive web applications and optimizing user experiences. Successfully contributed to FinLux Technology as an intern, delivering high-quality projects on time. Proficient in Python, JavaScript, and collaborative problem-solving.
Overview
2
2
years of professional experience
5
5
years of post-secondary education
4
4
Certifications
Work History
Machine Learning And Data Science Intern
YBI Foundation
06.2024 - 08.2024
- Developed ML models for diabetes prediction and admission chances with 85%+ accuracy.
- Analyzed 10,000+ data points, optimizing feature selection for improved model performance.
- Applied ML techniques from this internship to author a research paper on AI-Based Plant Disease Detection, later presented at an IEEE-sponsored conference.
Intern
FinLux Technology
08.2022 - 09.2023
- Developed and optimized responsive web applications, improving user experience by 30%.
- Implemented modern UI/UX designs using HTML, CSS, JavaScript, and Bootstrap.
- Enhanced website performance, reducing load times by 25% through code optimization.
Education
Bachelor of Technology - CSE AI&ML
Manav Rachna International Institute Of Research And Studies
Faridabad, Haryana 08.2022 - Current
XII - CBSE
Oxford Sr. Sec. School
Vikas Puri, New Delhi 04.2021 - 05.2022
X - CBSE
Oxford Sr. Sec. School
Vikas Puri, New Delhi 04.2019 - 05.2020
Skills
Accomplishments
- HackerRank: 3 stars in Java, 2 stars in C++.
- CyberHavok CTF: Ranked in the Top 50.
- DTU Cryptic Hunt: Secured 95th rank in the 24-hour event.
- Web & ML Proficiency: Skilled in Front-End Development and Machine Learning models.
- Smart India Hackathon 2023: Semi-finalist (Internal Round).
- Chess Zonal 2019: Secured 2nd place (Class X).
- Coding Combat: Achieved 5th place.
Training
- Delta 1.0 - Full Stack Web Development, Apna College
- Programming foundations: Data Structures, Linkedin Learning
- Soft Skills Development, NPTEL
Certification
Internship: Data Science and Machine Learning – YBI Foundation
Projects
- Spotify Frontend Clone: Built using HTML, CSS, and Bootstrap.
- Plant Disease Detection App: Developed with Keras, OpenCV, TensorFlow, and Flask for the GUI.
- Airbnb Clone (Wanderlust): Full-stack MERN website with complete frontend and backend integration.
- HackUtsav Website: Designed and developed for the event.
Timeline
Certification: Apna College – Full Stack Web Development
02-2025
IEEE – Presented research paper on "AI-Based Plant Disease Detection" at the 2024 ICCCIT
11-2024
Internship: Data Science and Machine Learning – YBI Foundation
08-2024
Microsoft Certification: Azure Developer Associate.
06-2024
Machine Learning And Data Science Intern
YBI Foundation
06.2024 - 08.2024
Intern
FinLux Technology
08.2022 - 09.2023
Bachelor of Technology - CSE AI&ML
Manav Rachna International Institute Of Research And Studies
08.2022 - Current
XII - CBSE
Oxford Sr. Sec. School
04.2021 - 05.2022
X - CBSE
Oxford Sr. Sec. School
04.2019 - 05.2020
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