Shubham Oli

Bloomfield,NJ

Summary

An ambitious sophomore at Caldwell University, pursuing a double major in computer science and business analytics. Skilled Python programmer who decodes business difficulties with elegance. A smooth partner with a reputation for clear communication. Quick to adjust, relating data to significant results. Ready to bring innovation to the intersection of business and technology.

Overview

years of professional experience

Work History

Education Consultant

Sambridi Education Consultancy

04.2020 - 05.2022

Evaluated the needs of departments and delegated tasks to optimize overall production
Conducted surveys of customer satisfaction to identify areas of improvement
Identified opportunities for business growth through new products or services

Club Vice President

Subichar Yuba Club

05.2017 - 08.2018

Developed relationships with local businesses to secure sponsorships
Resolved any conflicts between members or within the organization
Provided leadership, insight, and mentoring to newly hired employees to supply knowledge of various company programs
Supervised volunteer recruitment efforts and provided training sessions when needed

Education

Bachelor of Computer Science And Business Analytics(Double Major) - Computer Science/Business

Caldwell University

Caldwell, NJ

05.2026

Skills

Programming Proficiency:
Python: proficient in diverse applications and effective problem-solving
Web Development Skills:
HTML, CSS, and JavaScript: Craftily designing visually appealing and responsive websites
Data Analysis:
Pandas, Matplotlib: Experienced in insightful data analysis for informed decision-making
Effective Communication:
Strong written and verbal communication skills are evident through successful team collaboration
Time Management:
Proven efficiency in project scheduling for timely completion
Adaptability:
Swift adjustment to new environments fosters flexibility and responsiveness

Websites

https://github.com/soli2060

Accomplishments

Academic Scholarship Recipient, I successfully brought a creative concept to life by working collaboratively with a team to develop a Python-driven visualization tool for the Traveling Salesman Problem for Amazon using Pygame. This project not only demonstrated the application of randomized optimization algorithms but also served as a testament to the enhancement of problem-solving skills through collective effort and innovation.

Engineered Recipe Finder SPA using HTML for structure, CSS for style, and dynamic JavaScript for seamless functionality. Created a user-friendly hub with smooth animations and intuitive icons for easy recipe discovery. Hosted on GitHub Pages, welcoming collaboration. Showcased its versatility through desktop and mobile demos. A delightful blend of design and technology for a user-friendly culinary experience.

Timeline