
Software Engineer | Machine Learning
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Assessing your cultural and operational fit
NatWest Group (Royal Bank of Scotland)
Software Engineer
June 14, 2026 – Present
sudoku-solver
February 8, 2021 – January 14, 2024
Sudoku Solver using OpenCV and Flask. Live App deployed on Heroku
View ProjectAutomated-Essay-Grader
April 29, 2020 – April 29, 2020
Grades essay automatically using Machine Learning and Natural Language Processing
View Projectcomputer-security-monitoring-using-ml
March 21, 2018 – March 21, 2018
Built in a machine learning hackathon organised by National Stock Exchange, Mumbai, India
View ProjectSecurity-Monitoring-System-using-ML
March 18, 2018 – March 18, 2018
Most cyber solution solutions don't distinguish between everyday malware and advanced targeted attacks. Important alerts get lost in the noise of unimportant alerts, allowing attacks to breach security.
View Projectfraud-detection-transactions
February 17, 2018 – February 18, 2018
Predicting Fraud in Financial Payment Transactions
View Projectml-data-science-udemy
February 15, 2018 – March 3, 2018
Machine Learning AZ: Hands-on Python & R in Data Science
View Projectproject-venus
March 25, 2017 – April 28, 2018
An all in one review portal for movies, restaurants, games, tv shows, products, etc.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards Machine Learning and Data Science, which may align with roles requiring these specific skills. However, the current experience is limited to personal projects and a recent Software Engineer role with no specified skills or duration, making a comprehensive cultural fit assessment challenging. The diversity of projects (ML, web dev, problem-solving) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no psychometric or English test results available.