VizChitra 2025

Decoding Tech Job Market Trends: Insights from 350,000 Postings

Submitting a proposal for a Lightning Talk

A research paper presentation on “Visualizing the Future of Tech Jobs: Trends and Insights” using Data Analysis and Data Visualization.

Describe your talk/session in 2-3 paragraphs

This session is based on a published research paper that I co-authored with my mentor, Aishwarya Srinivasan. The paper delves into the dynamics of the job market with a focus on AI skillsets, providing a data-driven perspective on how technological advancements and post-pandemic shifts are reshaping the landscape. By analyzing extensive job market data, we uncover emerging trends and offer actionable insights that can guide job seekers, employers, and policymakers in making informed decisions and strategic plans for the future.
This study analyzes a dataset of 350,000 job postings from Grepsr to uncover current trends in job titles, locations, company ratings, reviews, and benefits.
The research leverages high-quality data provided by Grepsr, utilizing its powerful web scraping services. This academia-industry collaboration not only enabled us to drive insightful decisions but also empowered students to undertake data-driven projects. The paper is now published on arXiv, making it accessible to a wide audience interested in understanding the evolving job market.

Link to the paper: https://engrxiv.org/preprint/view/3748

The session will highlight key findings from the paper, emphasizing how data-driven projects are crucial in today’s digital landscape. By leveraging actionable insights from vast datasets, we can drive informed decision-making, which is essential for navigating the rapidly changing job market. The talk will also explore how these insights can be applied in real-world scenarios, benefiting both individuals and organizations.

Mention 1-2 takeaways from your session

Understanding Emerging Trends:

Participants will gain a deeper understanding of how technological advancements and post-pandemic shifts are influencing the job market, including new roles and required skill sets.

Strategic Planning:

Attendees will learn how to apply data-driven insights to make informed decisions and develop strategic plans for navigating the dynamic job market effectively.

How to Build Data-Driven Projects

Learn to ideate and craft impactful problem statements that address real-world challenges while showcasing your skills. This talk helps students and practitioners in Data Visualization approach projects effectively, collaborate with industries, and leverage real-world insights. Aligned with the “Explore & Play” theme, it emphasizes data exploration and visualization best practices.

Who is the audience for your talk/session?

The audience for this session includes job seekers, employers, policymakers, and anyone interested in understanding the evolving dynamics of the job market. It is particularly relevant for those looking to leverage AI skillsets and adapt to the changing landscape.

Add your bio, including workplace name and your job role

I’m Harini Anand, a final-year engineering undergraduate pursuing Computer Science interested in the fields of Computational Cognition, Machine Learning and Data Science.

I currently work as a Software Developer Intern at IBM at the Data & AI Division, on IBM watsonx™, which is our portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity.

I previously worked at Niramai Health Analytix, a deep tech startup focusing on Breast Cancer and used ML frameworks as a Research Intern at Indian Institute of Technology Hyderabad, to predict gene regulatory networks. I have also built cognitive tools for reducing the onset of Dementia as a student entrepreneur. I led the largest technical community on campus, also held workshops and given talks on Machine Learning, NLP, and Data Science.

I’ve been admitted to top summer schools at Oxford University, London and Massachusetts Institute of Technology which specialize in the applications of AI in Healthcare. I am Google KaggleX Mentee, and an AWS Scholar and have been awarded merit scholarships. I am a strong advocate for representation in STEM, and recognized as a High Impact APAC Ambassador for the Women In Data Science Community, an initiative by Stanford University. I am also a Harvard WE Tech Fellow. I am a member of the 5th El board and have been on the editorial team for the Data Engineering Track in 2024.

LinkedIn: https://www.linkedin.com/in/harini-anand-2002/