Prasann Kumar Upadhyay — Business Analyst
I am a B.Tech student in Engineering Physics (Minor in Computer Science) at Delhi Technological University (DTU) with strong technical expertise in software development, backend engineering, and machine learning. At Sweetchange, I built and integrated RESTful APIs using Java Spring Boot, implemented JWT-based authentication, and improved system efficiency through structured documentation and modular design. Previously, at REFO, I developed a machine learning model for loan default prediction, achieving 90%+ accuracy and enhancing the startup’s risk assessment process. My core skills include Java, C++, Python, Spring Boot, Pandas, scikit-learn, Git, and MySQL, along with a solid understanding of data structures, algorithms, operating systems, DBMS, and OOP principles. I have solved 350+ DSA problems across platforms like LeetCode and GeeksforGeeks and ranked 14th out of 900+ participants in Code Fusion 2.0 Hackathon organized by Chandigarh University. I’m also a McKinsey Forward Fellow and among the top 10 students of my batch. I’m seeking opportunities in Software Development, Backend Engineering, and Machine Learning, where I can contribute to impactful projects while continuously growing as a developer.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and Machine Learning.
Location: Delhi, India
Experience: 8 mos
Skills
- Software Development
- Machine Learning
Career Highlights
- Achieved 90%+ accuracy in loan default prediction model.
- Ranked 14th out of 900+ in Code Fusion 2.0 Hackathon.
- Top 10 student in batch at DTU.
Work Experience
Clear
Analyst Intern (4 mos)
Stealth Startup
SDE Intern (1 mo)
McKinsey & Company
McKinsey Forward Program (3 mos)
Refo
Machine Learning Intern (1 mo)
IEEE DTU
Executive (8 mos)
Education
Bachelor of Technology - BTech at Delhi Technological University (Formerly DCE)
Class 12th at Abhinav Public School Pitampura
Class 10th at St Angel's Senior Secondary School