ML Engineer | MSc. Artificial Intelligence @QMUL
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Assessing your cultural and operational fit
Computer-Vision
February 26, 2024 – June 21, 2024
This repo focuses on my works in the field of Computer Vision
View ProjectMachine-Learning-and-Data-Science-projects
August 20, 2023 – March 11, 2025
The repo focuses on my works in data science
View ProjectNLP_LLMS
August 19, 2023 – March 12, 2025
This repo focuses on my works in the field of NLP,LLMs and more
View ProjectBlog_posts
January 14, 2023 – April 14, 2024
This repo is created to store or act as the backup option for my blog posts
View ProjectJava-Tutorial
December 5, 2022 – December 17, 2022
The repository focuses on the programming tutorials in Java
View ProjectMasters-Thesis
August 14, 2022 – April 24, 2024
Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on Machine Learning, Data Science, and Computer Vision. While these align with an ML Engineer role, the lack of team-based projects or professional experience makes it difficult to assess cultural fit. The project descriptions are brief, limiting insight into collaboration or problem-solving approaches.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.