823 Advizers
Gagandeep
Gen AI Scientist
Property Software Company
Uttar Pradesh Technical University
Arizona State University
ASU W.P. Carey School of Business
Q1Career path
Natural Language Processing
Data Science
Machine Learning
3:05
"in 2021, I basically decided to enhance my skills with a masters in business A at WPKE School of Business"
Q2Main responsibilities
Artificial Intelligence
Machine Learning
Team Management
1:32
"it's a dynamic role that keeps me on my toes and with respect to the learning as well as managing my team"
Q3Day in the life
Coding
Project Management
Data Analysis
1:52
"A typical day for me is quite varied, to be honest."
Q4Most important skills - role
Python Programming
Cloud Computing
Machine Learning
1:36
"Knowledge of cloud platforms and ML ops practice is also vital. We work on AWS and Azure, and are experimenting with GCP."
Q5Favorite parts - role
Generative AI
Natural Language Processing
Artificial Intelligence
1:26
"It's really exciting to be at the forefront of Gen AI and see how our work can make a real-time impact."
Q6Biggest challenge - role
Artificial Intelligence
Project Management
Machine Learning
1:28
"Balancing innovation with practical implementation can be tricky, but we need to explore cutting-edge technologies while ensuring we're delivering stable and production-ready solutions."
Q7Favorite parts - industry
Artificial Intelligence
Data Science
Software Development
1:23
"we're working on technology that have the power to revolutionize industries and improve people's lives in meaningful ways"
Q8Who thrives in industry
Curiosity
Technical Skills
Adaptability
1:22
"The most successful people in this are intensely curious and self-motivated learners."
Q9Wish known before - industry
Data Analysis
Iterative Development
Ethical Implications
1:48
"While these are really crucial, I, I've learned that understanding the business context and domain specific challenges equally important."
Q10Entry-level positions
Machine Learning
Entry-Level Jobs
Data Analysis
2:16
"There are several entry points to start with. Junior data analyst or junior data scientists are common starting points."
Q11Significant lesson - career
Technical Expertise
Adaptability
Continuous Learning
1:54
"In this fast-paced world of AI and data science, staying relevant means constantly upskilling yourself."
Q12College ideas for success
Data Analysis
Problem-Solving
Coding
3:17
"Master program significantly contributed to my career success, like making conscious effort to bridging the gap between theory and practice."
Q14Most impactful experience at W.P. Carey
Natural Language Processing
Data Science
AI Applications
3:08
"It provided me with the opportunity to apply the theoretical knowledge I was gaining in my master's program to real-world business problems."
Q15What helped you prepare for your career as an international student?
3:18
"These connections not only helped me understand the US job market better, but also led me to a lot of job opportunities."