How Identity Influenced a Gen AI Scientist's Career at Property Software Company
Gagandeep's most impactful experience at WP Carey was their research assistant role at the Actionable Analytics Lab, "a game changer both academically and professionally," providing invaluable real-world experience applying data science to projects for a major company like Aidas, ultimately accelerating their technical skills and securing a position at Walmart post-graduation. This experience, including developing a "multi-label text classification model," solidified their career trajectory in AI.
Data Science, Natural Language Processing, AI Applications, Research Experience, Career Transition
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Gagandeep Singh
Gen AI Scientist
Property Software Company
Uttar Pradesh Technical University
Arizona State University (ASU) - W. P. Carey
Computer Science
Real Estate, Technology
Data and Analytics
None Applicable
Video Highlights
1. Relocated to the US for a master's degree after 6-7 years of prior experience. This significant step outside his comfort zone proved to be a transformative experience.
2. Worked as a research assistant at Actionable Analytics Lab, applying theoretical knowledge to real-world business problems for a major company. This involved using cutting-edge NLP techniques and provided invaluable insights into data science in a corporate setting.
3. The research assistant role enhanced his resume and helped him secure his position at Walmart. The experience improved technical skills, expanded his professional network and provided critical experience working in a research environment
Transcript
What was the most impactful experience during your time at WP Carey?
First, getting out of my comfort zone was the most impactful experience, moving from India to the U.S. Having already gained six or seven years of experience, pursuing a master's degree at a certain age was truly game-changing for me.
During my nine months at WPKE, the most impactful experience at SU was undoubtedly my work as a research assistant at the Actionable Analytics Lab. This experience was a game changer for me, both academically and professionally.
It provided me with the opportunity to apply the theoretical knowledge I was gaining in my master's program to real-world business problems. Working on projects for a major company like Adidas gave me invaluable insights into how data science and analytics are used in the U.S. corporate world.
One project that stands out was developing a multi-label text classification model to analyze Adidas product reviews. We used BERT, which at the time was a cutting-edge NLP technique. This project was particularly impactful because it allowed me to dive deep into advanced NLP methods and understand their practical applications in e-commerce and customer feedback analysis.
Moreover, the overall experience gave me a taste of what it's like to work in a research environment. I learned how to approach problems methodically, design experiments, and interpret results critically. These skills have been invaluable in my subsequent roles, especially when it comes to experimenting with and implementing new AI technologies.
The connections I made during this time were also incredibly valuable. Working closely with professors, fellow researchers, and my friends from grad school, many of whom had previous industry experience, expanded my professional network. It also exposed me to diverse perspectives in the field of data science.
Lastly, this experience significantly boosted my resume and gave me concrete examples to discuss in job interviews. I believe it played a crucial role in helping me secure my position at Walmart after graduation, a significant step in my career.
My time as a research assistant at WPKE was transformative because it bridged the gap between academic learning and industry application. It accelerated my technical skills and set me on a path to become a leader in the field of AI.
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