custome
Here are 19 public repositories matching this topic...
Give your Desktop a good look with a Simple and Cool theme
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Mar 13, 2024
Dive into the world of customer retention with this GitHub repository, Utilizing the power of tools like Power BI and Python libraries such as Numpy, Seaborn, and Tidyverse, we explore the factors driving customer churn and pinpoint their impact areas.
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Jun 2, 2025 - HTML
An LLM-powered augmented generation suite leveraging LangChain, Ollama, and vector databases to enhance response quality through caching, contextual memory, and retrieval-based methods. This collection of Jupyter notebooks showcases modular techniques for building intelligent, memory-efficient generative systems with real-time semantic awareness.
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Apr 11, 2025 - Jupyter Notebook
End-to-End Customer Churn Analysis & Prediction using Excel, SQL, Python, Machine Learning & Power BI covering data cleaning, EDA, predictive modeling, interactive dashboards, and actionable business insights.
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Sep 2, 2026 - Jupyter Notebook
Sample Movie App using ThemovieDB database. MVVM, Retrofit.
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Aug 6, 2021 - Kotlin
Interactive Parameter-Driven Weighted RFM Customer Segmentation & Revenue Retention Engine in Tableau ($2.32M+ Portfolio, LOD Architecture, What-If Scenario Modeling).
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Aug 27, 2026 - HTML
sQL + Python churn analysis: 28.6% churn, 18% revenue at risk, 6x higher churn in monthly plans
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Oct 3, 2026 - Jupyter Notebook
Bank customer churn prediction using TensorFlow ANN and Streamlit, with training notebooks and a salary regression experiment.
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Sep 29, 2026 - Jupyter Notebook
RFM segmentation of 5,395 real e-commerce customers across $35M in revenue — the newest 12% of customers generated 51% of all revenue, and re-engaging 15% of at-risk customers maps to ~$225K in recoverable revenue.
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Aug 26, 2026
Customer-centric Power BI analytics of credit card complaints, trends, customer pain points, resolution performance, and geographic insights.
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Aug 9, 2026
Data analytics learning project using Python, statistical testing and Tableau to analyse a digital A/B experiment.
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Aug 16, 2026 - Jupyter Notebook
End-to-End Customer Churn Analysis using Python, SQL Server, and Power BI to identify churn drivers, estimate revenue exposure, and recommend data-driven customer retention strategies.
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Jul 25, 2026
End-to-end customer churn analytics project built with Python, Pandas, Matplotlib, Seaborn, and Streamlit to identify churn patterns, visualize KPIs, and support data-driven retention strategies.
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Jul 31, 2026 - Jupyter Notebook
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