Skip to content
View noopurdiv's full-sized avatar

Block or report noopurdiv

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Amazon-Marketplace-Intelligence Amazon-Marketplace-Intelligence Public

    A full-stack data engineering and business intelligence project that tracks, transforms, and visualizes Amazon product pricing, quality, and market dynamics — built on BigQuery, dbt, and Power BI.

    Python

  2. Smart-Hospital-Multi-Agent-AI-System Smart-Hospital-Multi-Agent-AI-System Public

    Multi-agent AI system optimizing hospital operations through collaborative agents. Orchestrates specialized AI agents for diagnostics, scheduling, and resource allocation to improve clinical effici…

    Python

  3. Telco-Customer-Retention-AB-Testing Telco-Customer-Retention-AB-Testing Public

    I solved the "Predictive Churn Paradox" using Causal AI and Uplift Modeling on 100k Telco records. By analyzing a 20% discount A/B test via an S-Learner, I identified "Persuadable" segments to unlo…

    Jupyter Notebook

  4. AWS-PySpark-Customer-Churn-Pipeline AWS-PySpark-Customer-Churn-Pipeline Public

    Scalable end-to-end Big Data pipeline built on AWS (S3, EC2, SageMaker) and PySpark. engineered to predict banking customer churn with 82.8% accuracy and visualize retention insights via Power BI.

    Python 1

  5. WiFi-Ads-Analytics WiFi-Ads-Analytics Public

    Scored 7 venue zones using anonymized WiFi session data to identify premium ad placements. Built a weighted model combining footfall, dwell time, and repeat visits — revealing that high-traffic zon…

    Jupyter Notebook

  6. Global-Internet-Usage-Analysis-and-Visualization Global-Internet-Usage-Analysis-and-Visualization Public

    Analyzed global internet usage trends (2000-2023) for a DataCamp challenge. Cleaned and transformed data, used SQL for insights, and built interactive visualizations with Plotly. Explored digital d…

    Jupyter Notebook