About
Proficient and dedicated Computer Science graduate with a strong academic and research background in computer vision and machine learning. Proficient in developing software applications using Python, DotNet, and JavaScipt. Committed to leveraging technology to solve complex problems and drive innovation.
Computer Science Graduate, Data Scientist & Researcher.
Experienced in computer vision, machine learning, and software development.
- Birthday: 17 Dec 2000
- Website: www.shubhamgarg.live
- Phone: +1 917 914 1683
- City: Brooklyn, New York, USA
- Age: 23
- University: New York University
- Degree: M.S. Computer Science
- Email: sg8311@nyu.edu
Proficient in using advanced algorithms and tools to develop innovative solutions in various domains including computer vision, artificial intelligence, and data science.
Facts
Here are some impressive facts and statistics that highlight my professional journey and accomplishments.
Publications in international journals and conferences.
Certifications including AWS Certified Cloud Practitioner and Microsoft Certified: Azure AI Fundamentals.
Projects completed in various domains including comouter vision, machine learning, and web development.
Languages Proficient In including Python, Java, and C++.
Projects
Here are some of the projects I have worked on. Click on the links to view the project details on GitHub.
- All
- AI/ML
- Full Stack
Skills
Programming
- Python
- Java
- R programming
- DotNet ( C# )
- SQL Database
- C++/C
- HTML/CSS
- JavaScript
- React/React Native
- Shell Script
Frameworks
- PyTorch
- TensorFlow/TensorFlow Lite
- Keras
- Pandas
- Numpy
- Django
- Flask
- FastAPI
- Bootstrap
- Transfer Learning
- Databricks
- Hadoop
Technologies
- Computer Vision
- Artificial Intelligence
- Data Science
- Machine Learning
- Kubernetes
- Docker
- REST API
- MongoDB
- CosmoDB
- Software Development
- Linux
Tools
- GitHub
- Amazon Web Services
- Microsoft Azure
- GCP
- Version Control
- Anaconda
- Apache Spark
- Kafka
- PowerBI
Recommendations
Here are some words from colleagues and mentors who have worked with me.
Shubham is a dedicated, hardworking, and high-performance individual. In my work tenure with him, he always took feedback positively and continuously improved, and worked beyond expectation. I am giving shubham my highest recommendation and wish him all the best for all his future endeavors. I am sure that shubham will bring out a positive outcome wherever he works for moving forward.
Anurag Gupta
Associate Solution Advisor at Deloitte
Shubham is a very bright candidate with excellent technical skills and has good knowledge of deployment and application of machine learning workflow on Azure cloud. Shubham worked on creating a python based tool for automated WhatsApp messaging and has contributed to a variety of activities like analysis, management, and pre-processing of data and mass mail utility. It was a pleasure working with him.
Dr. Snehkumar Shahani
Lead Data Scientist (Sr Engineering Lead) at Persistent Systems
Shubham has been a part of my team since July 2022 and has been performing exceptionally well. As Shubham's supervisor, I can attest to his hard work, dedication, and professionalism. He is an asset to my organization and has proven to be an invaluable member of my team. Shubham’s commitment to his work and attention to detail have consistently exceeded my expectations.
Dr Katerina Bourazeri
Lecturer at the University of Essex
I am pleased to recommend Shubham Garg, an outstanding student known for his hard work, perseverance, and exceptional technical skills. His strong academic performance and active class participation highlight his problem-solving abilities and conceptual understanding. Shubham's leadership and organizational skills, demonstrated through his involvement in various university events and clubs, further underscore his capability to excel in any endeavor he pursues.
Dr. Sumita Gupta
Assitant Professor at Amity University
Shubham Garg is a dedicated student with a strong foundation in AI, Machine Learning, and Computer Vision. His analytical skills and passion for learning are evident in his research on 'Yoga Pose Classification' and 'Aerial Image Segmentation.' Shubham excels in implementing and improving complex AI models and is a commendable mentor to his peers. His research contributions make him highly recommendable for advanced academic endeavors in AI and ML.
