Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{164248,
author = {N. MARINBI and U.N.L.Madhuri and A.Hemanth and K.Keerthika and K.Varun},
title = {Future focus: Navigating Career Ambitions using pandas and plotly},
journal = {International Journal of Innovative Research in Technology},
year = {},
volume = {10},
number = {12},
pages = {451-454},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=164248},
abstract = {In today's dynamic and competitive job market, individual face the challenge of navigating their career ambitions amidst rapidly evolving industries, emerging technologies, and changing skill requirements. This abstract introduces a project aimed at providing a data driven approach to help individuals strategically plan and navigate their career trajectories. The project leverages advanced data analysis techniques and tools, including Python libraries such as Pandas, NumPy, and Plotly, to analyze industry trends, identify in-demand skills, and explore potential career paths. By harnessing the power of data, the project aims to empower individuals with actionable insights to make informed decisions and progress towards their career goals effectively. This survey analysis investigates the diverse landscape of career aspirations among individuals across various demographic groups. Through a comprehensive survey, data was collected on participants' demographic profiles, current employment status, desired career paths, influencing factors in career decisions, and perceived barriers to achieving their career goals. The analysis reveals a rich tapestry of career aspirations, shaped by personal interests, financial considerations, and work-life balance priorities. Common barriers to career success include limited opportunities for advancement, access to education or training, and socio-economic constraints. Furthermore, the analysis examines how career aspirations vary across different demographic factors such as age, gender, education level, and employment status. These findings offer valuable insights for educational institutions, career counselors, and policymakers to develop targeted interventions that support individuals in navigating their career trajectories effectively. Overall, this survey analysis contributes to a deeper understanding of the complexities surrounding career aspirations and underscores the importance of fostering environments conducive to realizing individuals' professional dreams.},
keywords = {},
month = {},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry