Premchand Gupta Makam

• Produced monthly reports using advanced Excel spreadsheet functions.
• Leveraged data analytics to identify and interpret trends in University Library User services and Student Union Desk interactions; findings guided implementation of targeted improvements, resulting in 25% increase in student engagement and satisfaction levels
• Utilized data visualization tools such as Tableau to effectively communicate insights.
• Used statistical methods to analyze data and generate useful reports.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.

• Actively contributed innovative ideas and suggestions during team meetings and provided regular updates on project milestones, design improvements, and feature enhancements.
• Collaborated with cross-functional teams to gather and refine project requirements, facilitating design and implementation of software features.
• Modernized and modularized legacy code bases to align with contemporary development standards, resulting in reduced operational costs and enhanced software functionality.
• Translated customer requirements into written use cases to ensure clear understanding of project objectives.
• Conducted rigorous unit testing, and integration testing, and actively participated in code reviews to consistently deliver high-quality software solutions.
• Demonstrated proficiency in working with AWS cloud services, including CodeArtifact, EC2, ECR, ECS, and CodeDeploy pipelines, to enable efficient application deployment and scalability.
• Managed source code and project workflows through systems like Git, Perforce, Jira, and Confluence for streamlined collaboration and project tracking.

Awards:

• Recognition award for picking various functionalities quickly and identifying many defects during release.

• Bank Customer Segmentation and Insurance Claim Prediction:
• Project involved drawing inferences from 2 case studies: Bank Marketing and insurance.
• Concepts of Clustering, CART, Random Forest, and Artificial Neural Networks.
• Neural networks are used to draw inferences from these case studies
• Various performance metrics have been used to validate performance of predictions on Test and train sets.
• Worked with developers to identify and remove software bugs.
• Wrote clear, clean code for various projects.
• Partnered with team members to learn best practices in software design.
• Analyzed source code to identify functionality issues.
• Developed processes to automate tasks, resulting in 70% increase in efficiency.