Sanskar Dwivedi is a technical consultant with five years of hands-on experience in software development and consulting, currently advancing his career at Perficient. He brings full-stack skills demonstrated through contributions to a popular curated repository of Python scripts, where he built a GUI-based Khata Book system integrated with MySQL and added automation and image-processing tools. Holding a diploma in computer science and pursuing a BE, Sanskar combines formal training with practical internships—including a cybersecurity-focused stint at NCIIPC India—and leadership experience as a GirlScript chapter lead. He is actively preparing for penetration testing, signaling a shift toward security-focused engineering alongside application development. Based in Nagpur, he is exploring ways to make AI models more memory-aware, reflecting an interest in emerging AI tooling beyond conventional web stacks. Colleagues describe him as a curious engineer who moves fluidly between building user-facing features and experimenting with automation and security.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Jhulelal Institute of Technology, Lonara
Diploma, Computer science and engineering, Diploma, Computer science and engineering at MSBTE
SECONDARY SCHOOL CERTIFICATE (SSC) 10th Class, schooling, SECONDARY SCHOOL CERTIFICATE (SSC) 10th Class, schooling at Central Board of Secondary Education
🚀 Curated collection of Awesome Python Scripts which will make you go wow. Dive into this world of 360+ scripts. Feel free to contribute. Show your support by ✨this repository.
Role in this project:
Full-stack Developer
Contributions:46 commits, 5 PRs, 18 comments in 1 year 3 months
Contributions summary:Sanskar contributed to a Python script project, primarily focused on developing a GUI-based "Khata Book" management system. Their contributions included creating the main Python file, likely implementing the user interface, and integrating it with a MySQL database. They also worked on updating the core functionality and adding features such as the ability to search, insert, delete, and view records. Further contributions include the addition of an automation script for Google Meet and an image processing application, indicating a diverse skillset.
It's A ML based Web Site build with python and Django to find the breed of the dog
Contributions:19 commits, 1 PR, 18 pushes in 4 months
pythonweb-sitedjangobreedweb-based
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Sanskar Dwivedi - Technical Consultant at Perficient