Nudratabbas

Predictive clinical AI infrastructure analyzing 110,000+ appointments to mitigate missed medical visits. Features XGBoost, LightGBM, and SHAP explainability for care-team interventions.

A machine learning system that predicts which patients will miss their medical appointments, giving clinic staff early warning to send reminders or adjust schedules. Uses LightGBM and XGBoost models with SHAP explanations so staff can understand why each patient was flagged as high-risk.

End-to-end data science pipeline project

A real-world simulation dataset and ML pipeline for predicting medical claim denials and reducing revenue leakage in healthcare systems.

Transforming unstructured clinical notes into structured diagnosis codes using NLP and large language models.

Predicting ICU patient readmission using MIMIC-III clinical data | XGBoost + LightGBM | 47 clinical features | Healthcare ML

Automated chest X-ray radiology report summarization using NLP | Indiana University OpenI dataset | Clinical text processing | Healthcare AI

Skin cancer detection using ConvNextBase on HAM10k dataset | 7 classes | 94% accuracy | Live demo on HuggingFace

An end-to-end predictive decision system using XGBoost and SHAP explainability to diagnose and mitigate corporate burnout risks using the OSMI Mental Health in Tech dataset.

A simple command-line Python application to help users track daily expenses, categorize them, and generate monthly summaries. Data is saved locally in a CSV file for easy access and management.

A command-line Python tool that fetches and displays current weather information for any city using the OpenWeatherMap API. Shows temperature, humidity, wind speed, and weather conditions in a user-friendly format.

Interactive data visualization web app.

Interactive data visualization web app.

Data visualization with customized static plots.

Interactive visualizations and dashboards.

Statistical and distribution-based visualization.

Data profiling, cleaning, and visualization for hypothesis generation.

Conversion funnel analysis with experimentation.

Analyzing marketing campaigns and building customer personas.

Data cleaning and exploration using SQL queries to extract insights.

Advanced SQL queries with joins, CTEs, and window functions for analytics.

Predicting customer churn using classification models.

Clustering customers into meaningful groups for targeting.

ML model to score leads based on conversion probability.

Personalized product/service recommendation engine.

Predicting future sales with time series models.

Trend analysis and visualization with pivot tables and charts.

Comparative BI dashboard for sales, marketing, and operations.

Automated Excel dashboard for financial/business reporting.

Interactive dashboard showing KPIs and business insights.

Exploratory data analysis on structured data.

End-to-End Marketing Analytics Project: Leverages RFM Analysis and Unsupervised Machine Learning (K-Means) to segment customers and deploy the model as a live, interactive web application using Streamlit and Hugging Face Spaces.

A dynamic Streamlit dashboard for visualizing marketing performance metrics (ROAS, CAC, Revenue) from CSV/Excel data.

End-to-end Power BI analytics project: Python-generated synthetic e-commerce data with interactive dashboard for sales, profit, and customer insights. Perfect for beginners learning data analytics! 📊

A simple command-line quiz application that loads questions from a JSON file and quizzes the user interactively with multiple-choice and true/false questions. Scores are tracked and feedback is provided.

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Identifying "at-risk" patients using historical visit and engagement data.

Time-series forecasting for clinic service demand based on seasonality and demographics.

Unsupervised clustering of Healthcare Professionals based on digital interaction patterns.

NLP-based analysis of patient reviews to pinpoint service gaps.

Mapping the patient journey from digital ads to booked appointments using Markov Chains or Heuristic models.

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Nudrat DS