This notebook outlines the pipelines of 3 models used to classify the shopping intention of online shoppers. Instances of individual pipleines have been generated for this project.
Notebook to analyze logistics data. Analysis is to validate data for correct payments to be paid by customer against invoice provided by service provider. Customer here is an e-commerce platform and service provider is its delivery partner. To stop money leak in business and secure relation, this notebook is a part of payment process.
A portfolio project using Supabase to create and manage an e-commerce database. Includes data loading from CSV, SQL transformations and Python-based analysis in Jupyter Notebooks. It focuses on practical skills in data modelling, cleaning and analysis.
Data analysis project based on the Olist Brazilian E-Commerce dataset. Includes data cleaning, exploratory analysis, delivery performance metrics, customer satisfaction modeling, and geospatial insights. Built entirely in Python (Jupyter Notebook) using real-world data from Kaggle.
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