I am a final year graduate student pursuing my Master’s in Computer Science at the University of Texas at Dallas. I have proficient knowledge of full stack web development using JavaScript, HTML, CSS, PHP and various other technology stacks. I have experience in hybrid mobile app development using IBM Worklight and MongoDB. I have also worked on various exciting projects ranging from making Machine Learning models to designing Databases.
I worked at Accenture for 2 years as an Associate Software Engineer for multiple projects across multiple teams. While at Accenture my core competency was in Java and Groovy.
I'm a constant learner and I am currently seeking full - time roles that would give me the opportunity to work on challenging projects. Please feel free to reach out if you are interested in collaborating on interesting technologies and projects that aim to create a powerful impact.
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Experience
Accenture, India, Associate Software Developer( May 2017 – May 2019)
• Facilitated the back-end operations by implementing an alert system for the servers to merge two of the biggest hospitality brands
• Partnered with a team of developers to maintain the website’s front-end by performing minor bug fixes, using HTML, CSS & jQuery, over a period of 6 months
• Successfully created scripts and carried out patching activities on the servers using Shell scripting, SOAP UI & XML
• Resolved over 400 customer issues over a period of one year by analyzing the issues in the servers and rectifying them
• Designed the checkout page from scratch using HTML5, Javascipt & Groovy over multiple sprints in Agile framework, while working for a major consumer electronics retailer
• Collaborated in a four-member team to develop a solution for Accenture Innovation Hub to automate check-in and provide personalized experience in a hotel
Steel Authority of India Limited (SAIL), India, Intern (June 2016 – July 2016)
• Programmed the Payroll System and wrote SQL queries to calculate salaries for over 50,000 employees.
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Projects
Machine Learning Repository
• Created a Machine Learning repository for helping new developers start in the field of Machine Learning
• Built projects on facial recognition & stock price prediction using Python, documented in-depth summary of most commonly used algorithms to facilitate better understanding
Similar Job Detection Tool
• Created a web scrapping tool for extracting job descriptions from various websites, as part of an idea-thon by Infosys
• Applied Siamese BERT on the scraped data to find a similarity score between different job descriptions
KIIT University Mobile Application
• Built a common communication platform for professors and students in my university to improve accessibility
• Developed a hybrid KIIT University mobile app using IBM Worklight, JavaScript, HTML, CSS and MongoDB
Sheqe Skincare Web Application
•Developed a prototype website for an online skincare business for customers to choose from products available in the website or custom build their products on the basis of their skin type
•Programmed the front-end using HTML, CSS, JavaScript and Bootstrap4, PHP for the back-end along with MySQL for storing data in the database
Breast Cancer Prediction: Importance of Feature Selection
• Performed detailed literature survey on breast cancer related research papers, built disease prediction models to understand the impact of features selection on the accuracy of machine learning algorithms
• Published a research paper in Advances in Computer Communication and Computational Sciences by Springer
Applications of Big Data in Smart City
•Analyzed datasets related to accidents, healthcare and criminal activities in a city, visualized them to evaluate prominent factors that could enhance the system of operations in a city
•Reviewed and summarized over 50 research papers from online repositories over a period of 4 months to come up with a detailed report on the advancements in technology for making a city smart