Case Studies

Airline Intelligence Platform
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Airline Intelligence Platform (Personal Project)

Python ETL Pipeline & Flight Delay Analytics

Problem: 3M raw DOT flight records requiring structured end-to-end analytics

Approach: Built medallion ETL pipeline (Bronze → Silver → Gold), delay root-cause analysis, and arrival delay regression model

Result: Full analytical platform covering 18 carriers, 380 airports, and 5 years of on-time performance data

Python Pandas scikit-learn ETL Pipeline Parquet
Olist Intelligence SQL Analytics
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Olist Intelligence — Advanced SQL Analytics (Personal Project)

MySQL 8 Data Engineering & Cohort Analysis

Problem: Raw e-commerce data requiring structured analytics pipeline

Approach: Built production-style SQL pipeline with relational modeling and cohort retention analysis

Result: End-to-end analytics from CSV ingestion to business KPIs

MySQL 8 SQL Data Modeling Cohort Analysis
E-commerce Profitability Analysis
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E-commerce Profitability Analysis (Udacity Guided)

Financial Modeling & Product Performance

Problem: Slowing profit growth despite steady sales activity

Approach: Built structured P&L statement from transaction data with YoY comparison

Result: Complete financial analytics enabling data-driven strategic decisions

Excel Financial Modeling Pivot Tables
US Accidents Analysis Dashboard
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US Accidents Analysis Dashboard (Personal Project)

Safety Trends & Risk Insights (2016–2023)

Problem: Large accident dataset requiring structured safety analysis

Approach: Built interactive dashboard with KPIs, heatmaps, and geographic maps

Result: 7.7M+ crashes analyzed with clear temporal and regional patterns

Excel PivotTables Data Visualization
Customer Sales & Income Prediction
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Customer Sales & Income Prediction (Udacity Guided)

Power BI Dashboard & Regression Analysis

Problem: Raw customer and product data requiring structured analytics

Approach: Built Power BI dashboard with data modeling, regression, and geographic heatmaps

Result: Income-sales correlation (0.78) and product recommendation insights

Power BI Power Query Regression
Screen Time & App Usage Dashboard
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Screen Time & App Usage (Udacity Guided)

Tableau Analytics Dashboard

Problem: Understanding mobile app behavior and engagement patterns

Approach: Built Tableau dashboard with heatmaps, regression analysis, and behavioral segmentation

Result: Identified two distinct usage patterns and 75% non-productive screen time

Tableau Data Visualization Behavioral Analytics