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business-insights

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Pipeline-Genie is an intelligent data pipeline that processes CSV datasets, identifies their schema, and leverages LLaMA 2.0 to extract business insights. Users can select relevant business needs, triggering automated ETL transformations using Apache Spark. The final transformed dataset is stored in AWS S3 and made available for download.

  • Updated Feb 21, 2025
  • Python

This project involves analyzing AdventureWorks bike sales data to uncover key insights into sales performance by country, customer segments, and products. The findings informed strategies for targeted marketing, market expansion, promotional timing, and product quality improvements.

  • Updated Aug 24, 2024
  • Python

Exploratory Data Analysis & Modeling to predict whether the shipping deliveries will be received late or on-time by the customers

  • Updated Jul 9, 2022
  • Jupyter Notebook

Analyzed transaction data from three NYC locations of Maven Roasters to uncover sales patterns and operational efficiencies. Tasks included revenue calculation, date/time extraction, PivotTable creation, and dashboard development. Recommendations were made to optimize operational hours and improve profitability for the Lower Manhattan branch.

  • Updated Jul 20, 2024

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