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Shubhang Agrawal

@shubhangagrawal

Programming Analyst at Cognizant Technology Solutions

Gwalior, M.P., India

https://in.linkedin.com/in/shubhang-agrawal-24a310160

Cognizant Technology SolutionsDIT University

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

Ongoing•Aug 2021 - Present•Noida, India

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

Internship•Mar 2021 - Jul 2021•Gwalior, M.P.

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

Contract/Project•Invalid Date - Invalid Date•Toronto, Canada

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)

Aug 2017 - Jun 2021•Grade: N/A

Miss Hill H.S. School

High School

N/A

Jul 2015 - Mar 2017•Grade: N/A

Licenses & Certifications

Python Programmer

Appin Technology Lab (ATL)

Issued: Jul 2019• No expiration

Machine Learning

Coursera

Issued: Jul 2020• No expiration

Deep Learning

Coursera

Issued: Aug 2020• No expiration

Skills

Python
Java
SQL
Machine Learning
Deep Learning
.Net Framework
ASP.NET MVC
OpenCV
DSA
.NET Core
TensorFlow
Keras
Azure cloud
Postman
Oracle MySQL
Scikit Learn
Angular Basics
MSSQL
HTML
CSS
JavaScript
Micro-services
Web API