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JPMorgan Chase & Companies
Data Scientist
June 18, 2026 – Present
Amazon-Product-Review-Analytics
February 10, 2026 – Present
This project explores large-scale data processing and analytics using Apache Spark (PySpark & SparkSQL) on the Amazon Product Reviews dataset. It demonstrates how distributed computing can be applied to ingest, transform, and analyze millions of product reviews to uncover meaningful insights.
View ProjectCustomer-Churn-Analysis
August 24, 2025 – August 24, 2025
This repository contains the source code for a complete, end-to-end MLOps pipeline designed to predict customer churn. The project demonstrates best practices in data management and machine learning, from ingesting data from multiple sources to training and comparing multiple models in a reproducible and automated workflow.
View ProjectCrypter
September 26, 2023 – October 7, 2024
A full-stack website to encrypt/decrypt text and files to keep them secure while sharing across web or uploading to cloud.
View ProjectSign-language-translator
March 27, 2021 – March 27, 2021
A Sign language translator made using TensorFlow to detect a hand gesture and display the corresponding message
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The current role as a Data Scientist at JPMorgan Chase & Companies aligns well with the target role. However, the experience level is listed as 0, which contradicts the current full-time role, suggesting a potential data inconsistency or very recent entry into the role. The project diversity is good within the data science domain, but there's limited evidence of collaborative projects or contributions to open source, which could indicate a need for development in team-oriented environments. The 'contact-manager' project uses front-end technologies (CSS, HTML, TypeScript, JavaScript) which, while demonstrating breadth, is less directly relevant to a pure Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.