About me
I'm Ayush Gupta, a final year Computer Science student at Dr. A.P.J. Abdul Kalam Technical University, passionate about AI, technology, and cybersecurity. During a rewarding 6-month stint at GI Ventures, I delved into the practical aspects of developing and deploying AI applications. Alongside my academic pursuits, I've earned certifications in Python, Data Analytics and Visualization, and Foundations of Cybersecurity from platforms like Udemy, Forage, and Coursera.
My journey is defined by a relentless drive to apply my skills to tangible challenges, creating innovative solutions that positively impact society. Eager to explore new technologies and domains, I'm on the lookout for collaborative opportunities to learn from like-minded professionals and embark on an exciting journey together. Let's connect and dive into the realm of possibilities in AI and technology!
My Skills
Experience
AI/ML Trainee
At Global Infoventures (Oct 2022- April 2023)
Advanced expertise in industry-standard software development, leveraging the NVIDIA DGXA100 AI supercomputer for cutting-edge research in computer vision, AI/ML, and other AI technologies. Contributed to 5+ research projects, specializing in deep learning and machine learning techniques, while collaborating with a team of 10+ trainers to drive innovation in AI research.
Web Developer Trainee
At DevTown (May2023 - Nov2023)
Develop expertise in full stack development, leveraging frontend technologies along with framework like React and express to create responsive websites and applications. Designed and deployed 5+ real world projects for clients, while learning about the latest technologies and frameworks in web development.
Data Analyst Trainee
At CRC ABESIT (Sep2022 - Jan2023)
Applied Python and data analytics expertise in a 'Data Science and Tools' BootCamp, executing a machine learning project on 'Stroke Prediction' to address healthcare challenges. Analyzed a diverse dataset with 11 clinical features using NumPy, Pandas, and data visualization, implementing ML models like Random Forest and Decision Tree for predictive analysis. Demonstrated proficiency in exploratory data analysis, feature transformation, and model evaluation.
Accenture Data Analytics & Visualization
At forage (May2023 - June2023)
Developed experties in data analytics and visualization, Leveraging Pandas and Matplotlib to analyze a dataset of 24000+ records and 7+ features to idetify trends and patterns in the data. Communicate findings through data visualization to drive business decisions.
Education
B.Tech
At ABES Institute of technology (2020-2024)
Class XII
Kendriya Vidyalaya (2019-2020)
Projects
Multi Person Face Recognition
(Oct 2022- April 2023)
a real-time multi-person identification system using machine learning and face recognition libraries.
View Project
PPE Violation Detection
(Oct 2022- March 2023)
Developed an automatic alert system with 97% accuracy to detect individuals without Personal Protective Equipment (PPE)
View Project
Social Buzz
(May 2023- Jun 2023)
Analyzed Social Buzz's content performance data to identify key insights and trends
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ToDo
(Jun 2023- July 2023)
User Friendly Flask-based ToDo app with login Authentication and CRUD operations
View Project
Brain Stroke Prediction
(Dec 2022- jan 2023)
Machine learning model to predict the chances of a person getting a brain stroke.
View Project
The Focal Point
(Aug 2022- Dec 2022)
Android app built in java using pomodor timer with a focus on productivity.
View Project
Python Stealer
(Feb 2023- Mar 2023)
A Python script that captures system information and sends it to a Telegram bot.
View Project
Contact Me
I'm currently looking for new opportunities, my inbox is always open.
Whether you have a question or just want to say hi, I'll try my best to get back to you!