Sooryansh Sharma

West Lafayette,IN

Summary

Innovative data analyst and cloud engineer with expertise in UX/UI design, focused on developing scalable, user-centric platforms to address complex business challenges. Skilled in AWS, Python, SQL, React, and Tableau to provide actionable insights, automate workflows, and enhance user experiences. Committed to leveraging analytical skills and technical knowledge to drive impactful results and support strategic decision-making.

Overview

year of professional experience

Work History

Summer Intern, Software Engineering

Netlink Software Group America Inc.

07.2023 - 08.2023

Implemented improvements to product delivery processes by leveraging tools such as Jira and Miro, resulting in over 200 bug fixes and implementation of proactive measures to prevent future rework
Orchestrated synthesis of stakeholder feedback and definition of sprint initiatives, culminating in an impressive 80% satisfaction rating from stakeholders
Collaborated with cross-functional teams to identify key performance indicators (KPIs) and establish metrics for measuring the success of software releases, resulting in improved project tracking and decision-making

Technical Business Analysis Intern

The Agile Coach

01.2023 - 05.2023

Utilized advanced data analysis techniques to identify trends and insights from large datasets, leading to a 25% improvement in decision-making accuracy and a 30% increase in revenue generation opportunities
Collaborated closely with stakeholders to gather, analyze, and document business requirements, resulting in a 15% increase in project efficiency and a 20% reduction in miscommunications between technical and non-technical teams
Actively contributed to code reviews and provided constructive feedback, resulting in a 20% decrease in code defects and enhanced overall code quality

Education

Bachelor of Science - Computer Graphics Technology, Computer Science

Purdue University

West Lafayette, IN

05.2025

Skills

Data Analysis
C Software Engineering
Java Application Design
Proficient in Python
Experienced with Office 365 Applications
Adobe Application Skills
MySQL Database Management

JavaScript Proficiency
React Framework Expertise
Skilled in Angular Applications
MongoDB Database Management
Data Visualization Expertise
Agile Project Management
Issue Resolution Management

Projects

Ocean Acidification Website
November 2023 – December 2023

Spearheaded the development of a dynamic website to raise awareness about ocean acidification and carbon emissions as a final project for a Data Visualization class.
Collaborated with team members to conceptualize, design, and implement user-friendly interfaces, utilizing HTML, CSS, and JavaScript frameworks (React, Angular) to ensure responsiveness and visual appeal.
Conducted data analysis and visualization of CO2 levels, ocean pH variations, and marine ecosystem health using Tableau, delivering insightful visual representations to inform and engage audiences.

Learning Management System (LMS)
March 2022 – May 2022

Managed a team of five to successfully create a comprehensive Learning Management System (LMS) for an Object-Oriented Programming course, integrating technologies like JAVA, Python (data preprocessing), MySQL, and GitHub.
Designed a robust and intuitive Graphical User Interface (GUI) to provide seamless access to course materials and resources for students and instructors.
Leveraged Pandas and NumPy to analyze data and uncover actionable insights, enhancing the system's functionality and user experience.
Oversaw the secure deployment of the platform, providing access to a repository of 25-course materials facilitated by 50 instructors across 25 departments, ensuring scalability and usability.

AI-powered retail analytics platform

October 2024 - December 2024

Developed a scalable AI-powered retail analytics platform using AWS (Lambda, S3, RDS), Python, and SQL to process real-time customer data, uncover actionable insights, and reduce decision-making time by 50%.
Automated data ingestion and processing pipelines with AWS Glue and Kinesis, ensuring continuous data freshness and supporting real-time analytics for over 10,000 transactions per second.
Designed intuitive dashboards using React and Tableau, enabling non-technical stakeholders to visualize key metrics, improve operational efficiency by 25%, and boost sales by 20% through data-driven insights.

Timeline