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Python | SQL | Spark | Databricks | Data Analytics | Finance Projects
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Assessing your cultural and operational fit
stock-index-pipeline
April 14, 2026 – Present
This project implements an end-to-end data pipeline to ingest, transform, and analyze stock market data using both local (pandas) and distributed (PySpark on Databricks) processing. The pipeline follows the industry-standard Bronze–Silver–Gold architecture for data engineering workflows.
View Projectsupply-chain-shock-simulator
April 14, 2026 – Present
supply-chain-shock-simulator — GitHub repository
View Projectcredit-default-analysis
February 20, 2026 – Present
This end-to-end Credit Risk Suite leverages a Random Forest model and SMOTE to predict defaults. It features a 3-tier Tableau dashboard: Executive Strategy (Exposure/Risk Heatmaps), Model Intelligence (Feature Importance/What-If Simulation), and Behavioral Surveillance (Debt vs. Payment Analysis), turning raw AI into actionable bank policy.
View Projectcustomer-churn-engagement-analysis
January 29, 2026 – Present
Customer churn analysis using DBMS, machine learning, and Tableau. SQL was used to structure and query user, subscription, and engagement data. ML-based churn probability and behavior segmentation were integrated into an interactive dashboard to identify high-risk users and retention drivers.
View ProjectBMW-Global-Sales-Analysis
January 23, 2026 – Present
End-to-end data analysis project using Python and Tableau to analyze BMW global sales trends (2010–2024).
View ProjectCultural Fit Analysis
The candidate's project portfolio is entirely composed of personal projects, which demonstrates initiative and self-driven learning. However, the lack of team-based or professional experience makes it difficult to assess collaboration and cultural alignment within a corporate setting. The projects are diverse within the data science domain, indicating a broad interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on end-to-end solutions, which suggests a degree of problem-solving and project management capability.