Vineeth UserVU
Open to opportunities

Vineeth User

@vineethuser

Aspiring data scientist specializing in AI and NLP solutions.

India

What I'm looking for

I am looking for opportunities that allow me to innovate with AI technologies in a collaborative environment.

I am an aspiring data scientist with over a year of experience in developing and implementing AI solutions. My expertise lies in cutting-edge technologies such as Generative AI, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) architectures. I am passionate about leveraging these technologies to help organizations tackle complex challenges effectively.

Currently, I work as a Junior Data Scientist at Digital University Kerala, where I have successfully developed and optimized algorithms to enhance search result relevance and accuracy. My projects include creating a rule-based chatbot and an AI-powered Time Extraction Agent, showcasing my ability to integrate advanced AI techniques into practical applications. I am committed to continuous learning and professional growth in the field of data science.

Experience

Work history, roles, and key accomplishments

DK
Current

Junior Data Scientist

Digital University Kerala

Oct 2023 - Present (1 year 7 months)

As a Junior Data Scientist, I developed and optimized algorithms for document ranking and created a rule-based chatbot using Python and NLP. I also built an AI-powered Time Extraction Agent and a RAG-based conversational AI system, enhancing user interaction and data retrieval accuracy.

Education

Degrees, certifications, and relevant coursework

Digital University Kerala logoDK

Digital University Kerala

Master of Computer Science, Computer Science

2021 - 2023

Relevant coursework included Data Analytics, Natural Language Processing, Machine Learning, and Artificial Intelligence, focusing on advanced computational techniques and their applications in real-world scenarios.

SC

St Joseph’s College

Bachelor of Mathematics, Mathematics

2018 - 2021

Relevant coursework included Statistics, providing a strong foundation in mathematical principles and their applications in data analysis and interpretation.

Tech stack

Software and tools used professionally

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