Data Scientist | Machine Learning Engineer | Full Stack Developer
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Natwest Group
Data Scientist
June 20, 2026 – Present
AgenticPipelines
October 25, 2025 – October 27, 2025
A space for Researching and Developing Agentic Pipelines with Different development Frameworks, logging pipelines, RAG flows and with various models.
View Projectwebcam-based-pupil-diameter-estimation
November 11, 2024 – December 9, 2024
This project provides an end-to-end solution for pupil diameter estimation using accessible hardware (like webcams) and advanced deep learning techniques.
View Projecteyedentify
July 12, 2024 – December 9, 2024
This project provides an end-to-end solution for pupil diameter estimation using accessible hardware (like webcams) and deep learning techniques.
View Projectft_llm_code_generation
April 26, 2024 – April 28, 2024
ft_llm_code_generation — GitHub repository
View Project3D-Computer-Vision-And-Image-Processing
December 27, 2021 – August 17, 2022
3D-Computer-Vision-And-Image-Processing — GitHub repository
View ProjectNewsApp
July 20, 2020 – February 8, 2023
This is a single-screen react native app. You can signup / login using your Google account. This app gives you a feel of sliding through articles like reading a newspaper or a book. You can also select your favourite news topic from the filters.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science, machine learning, and computer vision, which aligns well with a Data Scientist role. The diversity of projects, from web development to advanced ML, indicates a broad interest in technology. However, the lack of detailed descriptions for many projects makes it difficult to fully assess the depth of involvement and collaborative potential. The candidate's current role as 'Data Scientist' at Natwest Group (starting in 2026) suggests a future alignment, but current experience is not yet available.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.