Summary
Education
Skills
Affiliations
Timeline
Generic

Jakub Niedźwiadek

Lublin

Summary

I'm an ambitious student with a passion for computer science and data analysis who aspires to develop into a Python/Data Scientist. My professional adventure began as a technical support technician for a computer service company. In this role, I gained valuable skills in the areas of technical troubleshooting, time management and customer communication.

Education

Business Analytics

Uniwersytet Marie Curie Skłodowskiej
Lublin, Poland
2026

Skills

  • Jupyter Notebooks
  • Python
  • Pandas Library
  • Numpy Libary
  • SQL
  • Analytical Skills
  • Database programming
  • Problem-Solving

Affiliations

Successfully designed, created, and implemented a new database for storing documents originally in word format to SQL. Enhanced user experience by creating a responsive single page application using AngularJS for an e-commerce site which optimized traffic, page views, and site "stickiness". Conducted extensive analysis on their current inventory content management system, proposing a new system to allow for better timing on re-orders/re-stocking saving sunk inventory cost. Wrote 35-page analysis documentation. Modeled requirements in use cases and held combined walk through meetings which improved communication between product managers and software development team. Designed and developed web MVC based application for college which can be used to manage and keep track of student applications for different departments of the college. Utilized TV Maze API application NodeJS, AngularJS, REST-Json. Developed a TV show-search web application using TV MAZE API which lets the user search for TV shows from the data pulled into the application along with details about the cast and crew. Used Big Data Analytic Python, Selenium, MongoDB, GitHub, Matplotlib. Developed data analytic tool to predict how the amount of rainfall affects the water consumption per year on the basis of analysis done over the data collected for last 10 years

Timeline

Business Analytics

Uniwersytet Marie Curie Skłodowskiej
Jakub Niedźwiadek