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Vaibhav Upadhyay

@vaibhavupadhyay

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I'm a Data Scientist based in the united Kingdom

United Kingdom

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I offer 5 years of invaluable industry experience at the intersection of data science theory and real-world application.

My expertise encompasses both implementing production-grade analytics pipelines using state of the art algorithms and leveraging bleeding-edge AI to extract actionable insights.

Blending technical skills with a understanding of advanced deep learning computer vision and NLP algorithms, I have honed the capability of rapidly translating models from conception to business impact.

Experience

Current

Data Scientist

Current

Tiquu

Feb 2024 - Present (3 months)

● Developing a label prediction model for Scientific QnA text corpus based on semantic analysis of text leveraging vector embeddings and transformer models (SBert).
● Contributed to codebase by adding feature reduction techniques.

Python Deep Learning NLP Machine Learning CoreNLP Transformers Model Fine Tuning

Data analyst

Infosys

Jul 2017 - Dec 2019 (2 years 5 months)

● Developed utility scripts for data cleansing, data aggregation and application of business logic for sales forecasting using python, SQL ensuring timely data extraction for reporting purposes.
● Worked on enhancement,bug fixes along with placing monitoring scripts on cloud servers using Python and Bash to provide timely alerts on system’s health.
● Automated quarterly, annual activities such as

Python SQL AWS BASH Tableau SQL

Data Scientist

Infosys

Jan 2020 - Aug 2022 (2 years 7 months)

● Developed and fine tuned a RoBERTa based NLP model for auto-closing of user issues, leveraging historical ticket data. Resulted in a 10% reduction in Infosys’ project operational costs.
● Developed a slack bot via fine tuning a GPT model integrated with Bolt framework for issue summarisation and sentiment based user ticket resolution and deployed on AWS lambda, currently utilized by 2000+ Infos