Shubhang Agrawal
@shubhangagrawal
Programming Analyst at Cognizant Technology Solutions
Gwalior, M.P., India
Shubhang Agrawal is a skilled developer with experience in full-stack development and machine learning. He has worked as a Programming Analyst at Cognizant Technology Solutions, focusing on integrating APIs and enhancing complex SQL structures. His technical expertise includes Python, Java, and deep learning frameworks like TensorFlow and Keras. He has demonstrated strong problem-solving skills, achieving top rankings in Kaggle and HackerRank competitions.
Experience
Programming Analyst
Cognizant Technology Solutions
Successfully updated and integrated Kronos API in current business logic showcase data on UI. Updated .net code and simple SQL query structure to complex structure to meet current business needs. Developed, scheduled, and maintained automated windows job to perform various tasks which reduced significant amount of manual work. Tested Perl scripts on servers after up-gradation of Perl version. Analysed .Net code logic and documented the architecture of a job. Enhancement and Root cause analysis on code logic and stored procedures. Technology used: ASP.Net framework, MVC, MSSQL, Oracle DBMS, Batch, Windows job, Task scheduler, Visual Studio.
Software Engineer Intern
Cognizant Technology Solutions
Developed home loan management system, where user can apply for home loan and check the eligibility, status for their application. Hands on experience in using ASP.NET Framework to develop a web application. Worked by Scrum framework. Completed the training with Rank 1 in the batch and BU rating of 85. Technology used: ASP.Net framework, MVC, MSSQL, HTML, CSS, JavaScript.
Machine Learning Engineer
Neurons4Vet.ai
Developed a model which classifies different diseases in animals based on their X-Ray. Used and Researched latest object detection algorithm YOLO-R. Responsibilities included cleaning and preparing structured data for use in training deep learning models, as well as using the YOLO R algorithm to label medical DICOM images for use in object detection. Applied expertise in machine learning and deep learning to a real-world problem, honing skills in data cleaning, data labeling, and algorithm development.
Education
DIT University
B-Tech
Computer Science And Engineering (Internet of Things - IOT)
Miss Hill H.S. School
High School
N/A
Licenses & Certifications
Python Programmer
Appin Technology Lab (ATL)
Machine Learning
Coursera
Deep Learning
Coursera