“Using historical data, identify which model best predicts future flight delays and in turn identify top indicators of U.S. domestic flight delays.”
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Updated
Jun 11, 2020 - Jupyter Notebook
“Using historical data, identify which model best predicts future flight delays and in turn identify top indicators of U.S. domestic flight delays.”
A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.
📊 Power BI dashboard for Airline Price & Route Analysis. Includes raw & cleaned flight data, interactive filters, and key insights into pricing, routes, airlines, and booking trends. 🚀
This project presents analytical view of Indian domestic airline flights, covering pricing trends, booking behavior, class distribution, city-wise connections, and timing analysis. The dashboard is built using Microsoft Power BI, leveraging interactive visuals to help understand customer patterns, flight pricing strategies, and operational insights
Power BI Dashboard Portfolio showcasing real-world projects on sales analysis, customer insights, risk analysis, and business performance reporting using Power BI, DAX, Power Query, and data modeling. Includes interactive dashboards, KPIs, and analytical reports.
Análise de sentimentos em avaliações de companhias aéreas utilizando Processamento de Linguagem Natural (NLP) e Machine Learning.
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