SELF MOTIVATED POSTGRADUATE IT STUDENT WITH A POSITIVE ATTITUDE TO WORK.
ABLE TO WORK 20 HOURS MAX FOR A WEEK(CAN WORK FULL TIME DURING SCHEDULED VACATIONS).
SCHEDULED VACATION DATES:
(15 APRIL-28 APRIL)
(01 JULY- 21 JULY)
(30 SEPTEMBER-13 OCTOBER)
(23 DECEMBER - 12 JANUARY 2025)
Overview
1
1
year of professional experience
Work History
Intern
NORTHPOLE WEB SERVICE
, LUDHIANA
01.2023 - 06.2023
Analyzed user experience to improve navigation, usability, and overall design of websites.
Collaborated with developers to ensure that all design elements were properly implemented into HTML and CSS code.
Assisted in the development of new sites from concept to completion.
Trainee
ANSH INFOTECH
, LUDHIANA
07.2022 - 08.2022
Performed exploratory data analysis to identify patterns and trends in large datasets.
Conducted research on new algorithms and technologies related to data science.
Education
MASTERS OF APPLIED TECHNOLOGIES -
UNITEC INSTITUTE OF TECHNOLOGY
MT. ALBERT
02-2024
Bachelor of Technology - Computer Science
Ludhiana
07-2023
12TH GRADE -
Ludhiana
03-2019
10TH GRADE -
Ludhiana
03-2017
Skills
CUSTOMER SERVICE
COMMUNATION AND INTERPERSONAL SKILLS
SOFTWARE AND IT KNOWLEDGE
HARDWORKING AND ADAPTABLE
QUICK LEARNER WITH GROWTH MINDSET
FRIENDLY AND CONFIDENT
PUNCTUAL AND TRUSTWORTHY
Languages
ENGLISH
PUNJABI
HINDI
Projects(INDIA)
Hand Gesture Based System, The project aimed in developing a robust finger recognition and movement monitoring system. It involved capturing finger movements frame by frame for accurate data analysis, extracting essential features, identifying precise gestures, and integrating various actions, enhancing user interaction with digital devices through finger gestures.
Website For A Packaging Company, The project aimed to create a website with three key objectives: a stock management interface for real-time inventory control, an employee ID management system with secure access control, and an enhanced user interface for an engaging and intuitive user experience. These objectives collectively aimed to optimize stock management, enhance employee efficiency, and improve user engagement, ultimately benefiting the company's operations and decision-making.
H&M Personalized Style Recommendor, This webpage predicts new clothes and fits based upon users' previous purchase history to enhance their choice and style and provide hassle-free shopping.