🚀 Data Engineer @American Express • 6 yrs exp. 🔧 Spark · Hive · Hadoop · GCP · ML · kafka · Shell Scripting · Airflow · Apache Beam · Autosys · Python
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
American Express
Data Scientist
June 20, 2026 – Present
MLPracticeBasics
February 16, 2025 – February 16, 2025
MLPracticeBasics — GitHub repository
View ProjectAirflowDags
February 16, 2025 – February 16, 2025
The Repository contains practice dags of airflow
View ProjectSparkStreaming2023
April 22, 2023 – April 23, 2023
SparkStreaming2023 — GitHub repository
View ProjectAlgorithm_Practice_code
January 22, 2021 – February 17, 2021
Repository contains practice code on different algorithm based problems
View ProjectPractice-Code_java
January 1, 2021 – January 1, 2021
Repository contains practice code on core Java, JSP and Servlets and SpringFramework
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and exploration of various technologies (Java, Scala, Python, Rust) through personal projects. The current role as 'Data Scientist' at American Express aligns directly with the target role. However, the breadth of projects, while diverse in technology, lacks detailed descriptions of impact or collaboration, making a full cultural fit assessment challenging. The experience level is listed as 0, which contradicts the current role, suggesting a potential data discrepancy or very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.