OroCRM - an open-source Customer Relationship Management application.
Data Science & Machine Learning Internship at Flip Robo Technologies
Source-driven decision hub inspired by the PwC Switzerland / Forage Power BI virtual case experience, deployed on GitHub Pages.
Retainful Website
Unified fraud detection and churn prediction platform with advanced ML pipelines, feature engineering, behavioral analytics, and production-ready inference.
Abandoned Cart Recovery Email and Next Order Coupon Plugin for WooCommerce. Easily recover abandoned carts with a single click and drive repeat purchases with Retainful
Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty.
Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
LoyalPyME: Integrated digital loyalty (LCo) and hospitality service (LC) platform for SMEs. Boost customer retention and streamline operations with points, tiers, rewards, digital menus, QR codes, and advanced customer management. (React, Node.js, PostgreSQL)
End-to-end streaming platform user behavior EDA with synthetic NOICE-style data, business insights, visuals, and Streamlit dashboard.
This demo repository demonstrates how to analyze customer reviews with Azure OpenAI Service (AOAI). I leveraged "ASOS Customer Review" from Kaggle to obtain valuable insight from the customer review content.
A collection of applied AI use cases for the telecom retail industry. Includes ready-to-use demos for customer churn prediction, referral-based growth engines, customer segmentation, and more, designed to help telecom operators retain customers and drive acquisition using machine learning and predictive analytics.
Assessed brand loyalty patterns and price elasticity metrics to provide insights for brand’s market growth. Recommended strategies for the top 3 brands based on competitor analysis, customer profiling and customer retention through RFM analysis and multinomial logit.
ChurnShield – AI-powered Flask web app predicting customer churn and generating personalized retention strategies with a Random Forest ML pipeline and admin dashboard.
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
Customer churn prediction system using XGBoost, SHAP explainability, and Streamlit for real-time telecom retention analysis.
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power Bi
The Bank Churn Classification project predicts customer churn in the banking sector using machine learning algorithms and EDA. It features a user-friendly interface built with HTML and CSS, with model deployment via Flask. This helps banks identify churn patterns and implement strategies to retain customers.
End-to-End Data Science & Machine Learning project for predicting customer churn using a Balanced Logistic Regression model with Streamlit deployment.
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