Optimized media, analytics and graphics software stack images. Use the dockerfile(s) in your project or as a recipe book for bare metal installation.
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Updated
Sep 16, 2024 - Dockerfile
Optimized media, analytics and graphics software stack images. Use the dockerfile(s) in your project or as a recipe book for bare metal installation.
The shared repository for Media Cloud web apps (Explorer, Source Manager, Topic Mapper)
HonestyMeter: An NLP-powered framework for evaluating objectivity and bias in media content, detecting manipulative techniques, and providing actionable feedback.
Code that drives the public web-based tools for the Media Cloud Online News Archive and Directory.
Predicting online news popularity using New York Times articles in 2020
Mapped 6,874 titles across 37 genres to reveal 43% of catalogue targets U/A 13+ — uncovering an underserved kids and family content gap
This repository contains a project that analyzes the impact of media advertising 📺📻📰 on sales 💸 using SQL for data processing and Tableau for interactive dashboards 📊. The dashboard visualizes how advertising spend influences sales and helps optimize marketing ROI 📈.
This project focuses on Quarterly Revenue Forecasting across three media platforms.
End-to-end OTT streaming analytics — viewership KPIs (DAU, MAU, ARPU, churn), content performance, revenue attribution & churn prediction using Python, SQL, Scikit-learn
Jupyter Notebook dedicated to the detailed analysis of the Netflix movies and tv shows using the R programming language
Automated ETL pipeline for Disney theatrical ad performance (Prisma, Innovid, GCM360)
Google News data extraction tool
news extraction automation tool
Movie market trend analysis using Apache PySpark and Databricks — revenue patterns, genre performance, and ratings across 1000 IMDB films (2006–2016)
Interactive JioHotstar Content Analytics Dashboard built with Power BI, Python, Numpy, Pandas, Plotly, Pillow, and Streamlit, featuring content trends, genre analysis, ratings insights, and global distribution analytics.
Streaming algorithms suffer from "Blockbuster Bias"—they push expensive hits while high-quality content gets buried.
Real-time analytics pipeline: Kafka → Spark Streaming → Delta Lake (MinIO) + ClickHouse. Includes ML models for churn, recommendations, and conversion prediction. Production-ready with CI/CD, data governance, and terabyte-scale architecture.
ProMedia Insight Hub is an AI-powered media analytics dashboard for managing, analyzing, and extracting strategic insights from news data in a modern and efficient way.
Exploratory analysis of Amazon Prime Video’s global catalog, highlighting trends in content distribution, genres, audience ratings, and release patterns using a Kaggle dataset.
Personal media intelligence dashboard. React + Recharts + Vite. Analyzes viewing patterns across film and TV with genre breakdowns, year-over-year trends, and discovery heatmaps.
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