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Data Engineer ll
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Assessing your cultural and operational fit
JPMorganChase
Data Scientist
June 20, 2026 – Present
Real-Time-Delta-Lake-with-Pyspark
January 29, 2024 – January 29, 2024
Batch & streaming data pipelines built using Databricks with Pyspark and modeled the data into star schema to analyze in PowerBI, Formula-1 racing data from multiple data sources, APIs.
View ProjectCredit-Card-Lead-Prediction
October 17, 2021 – November 15, 2021
A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.
View ProjectCustomer-Churn-Prediction-Model-with-XGBoost
May 20, 2021 – May 23, 2021
The goal of this project is to develop a predictive model that will predict the customers likely to churn and propose a strategic perspective to decrease the churn rate.
View ProjectSmart-Agent-Recruitment
May 18, 2021 – November 15, 2021
A machine learning project to predict whether an agent will be able to source business after corporate training. A Power BI dashboard is developed to capture past trends.
View ProjectRetail-Strategy-and-Analytics
April 26, 2021 – May 23, 2021
Establishment of control stores based on their performance compared to selected trial stores to increase the retail chain of stores and enhance sales revenue.
View ProjectData-Analytics-Customer-Segmentation
April 20, 2021 – May 23, 2021
In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Python and created Dashboard using Tableau.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data science and analytics, which aligns with the target role of Data Scientist. However, the projects are all personal, and there is only one current professional experience listed with a future start date, making it difficult to assess cultural fit based on team collaboration or diverse work environments. The inclusion of DevOps-related projects (terraform-toolbox, etl-package, toolbox) suggests a broader technical interest beyond pure data science, which could be a positive for cross-functional teams but also indicates a potential lack of deep specialization in core data science practices if not balanced.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.