Prisha Jat
@prishajat
Enthusiastic data engineer specializing in AI and machine learning.
What I'm looking for
I am an enthusiastic final-year Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning from Manipal University. My academic journey has been enriched with practical experience in industry-standard big data tools such as Apache Spark and Hadoop, along with proficiency in SQL and NoSQL databases. My capstone project focused on Neural Networks, showcasing my commitment to understanding complex data systems.
Currently, I am interning as a Data Scientist at Globant, where I spearhead initiatives in Generative AI and Large Language Models. My role involves pioneering research and deployment of advanced machine learning architectures, particularly transformer-based models for Natural Language Processing tasks. I am dedicated to enhancing capabilities in text generation, summarization, and sentiment analysis, driving performance improvements through the integration of AI models into production environments.
Experience
Work history, roles, and key accomplishments
Data Scientist Intern
Globant
Aug 2023 - Present (1 year 10 months)
As a Data Scientist Intern at Globant, I lead initiatives in Generative AI and Large Language Models, focusing on advanced machine learning architectures for NLP tasks. My role involves enhancing text generation and sentiment analysis capabilities, while collaborating with teams to integrate AI models into production environments.
Education
Degrees, certifications, and relevant coursework
Manipal University
Bachelor of Technology, Computer Science
2021 - 2025
Activities and societies: Featuring a capstone project on Neural Networks and proven academic excellence in cutting-edge tech.
As an enthusiastic final-year CSE student specializing in AI/ML, I bring a fervent passion for data engineering coupled with a robust foundation in machine learning, deep learning, and the cutting-edge realm of generative AI. My academic journey has been enriched by practical experience with industry-standard big data tools such as Apache Spark and Hadoop, as well as proficiency in both SQL and No
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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