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Data Scientist
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SearchPilot
Data Scientist
June 29, 2026 – Present
PyTorch-Deep-Learning-Bootcamp
April 10, 2025 – April 22, 2025
A collection of Jupyter notebooks and projects created while completing the PyTorch for Deep Learning Bootcamp course on Udemy. These notebooks cover foundational to advanced concepts in PyTorch, including neural network architectures, training methods, and practical applications.
View ProjectBank-Marketing-Campaign
March 22, 2025 – April 11, 2025
A streamlit-based web application that predicts whether a client will subscribe to a bank term deposit. The app uses machine learning models trained on the Bank Marketing dataset from UCI.
View ProjectEnd-to-end-Machine-Learning-Project
January 14, 2025 – January 18, 2025
End-to-end-Machine-Learning-Project — GitHub repository
View ProjectVehicle-Insurance-Prediction-System
December 25, 2024 – December 27, 2024
A machine learning-powered application for vehicle insurance management and prediction, built using modern tools and technologies. The system is designed for seamless deployment, scalability, and efficiency.
View ProjectMLOps-with-MLflow
December 24, 2024 – December 24, 2024
This repository provides a comprehensive demonstration of conducting experiments using MLflow.
View ProjectMLOps-with-DVC
December 22, 2024 – December 24, 2024
This project focuses on building a comprehensive understanding of creating an end-to-end machine learning pipeline, including experimentation, utilizing DVC for experiment tracking and data versioning, and leveraging AWS for cloud-based solutions.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and MLOps. The current role as a Data Scientist at SearchPilot aligns well with the target role. However, the breadth of technologies outside of Python and Jupyter Notebooks is limited, and there is no information on collaborative projects or team contributions, making a comprehensive cultural fit assessment difficult.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on practical application and end-to-end ML pipelines, which suggests a results-oriented approach.