This project aims to build a game recommendation system for Steam users using machine learning techniques. It utilizes a custom dataset of Steam IDs to retrieve user-specific information such as owned games, playtimes, and game tags through the Steam Web API. The collected data is then processed and used to train a machine learning model.
A Power BI dashboard developed to analyze global video game sales, uncover market trends, and provide data-driven insights across regions, genres, and platforms.
Workforce planning & diversity KPIs for the gaming industry - portfolio case study using synthetic data. Not affiliated with any company.
Exploratory Power BI analysis of gaming industry trends including revenue, players, genres, developers, platforms, and growth.
A distributed system that provides a service to store, retrieve, and analyse the game data of popular multiplayer online survival games such as CS: GO, PUBG, Fortnite, etc.
Identifying patterns that determine game success across global regions and platforms to inform retail strategies for 2017.
An analytical breakdown of modern gaming distribution, failed platform USPs, corporate consolidation, and the erosion of core gaming.
🕹️ Decoding the "Achiever" quest in PS4 gaming using Bartle’s Taxonomy. A behavioral analytics project transitioning from KNIME to Python, featuring Decision Tree models with 100% classification accuracy. 🧙♂️✨
Gaming ERP for managing tournaments, players, revenue, events, and gaming operations. Built with APPNEURAL.
Comprehensive strategic, financial, operational, and marketing analysis of Gameloft SE within the mobile and interactive gaming industry.
Global video game sales and user ratings analysis for Ice Online Store. Explores platform lifecycles, regional consumer behaviors (NA, EU, JP), and performs statistical hypothesis testing (SciPy) to optimize inventory and campaign strategy.
Analyzes historical video game sales to identify success factors across platforms, genres, and regions. Helps retailers focus on high-potential games and tailor marketing strategies to regional preferences, enabling data-driven decisions for inventory and promotions.
Análisis prospectivo del mercado global de videojuegos (1980-2016). Implementación de EDA y pruebas de hipótesis para la optimización de inversión publicitaria mediante Python y estadística descriptiva.
Explorer un dataset de 10 000 jeux vidéo populaires afin d’identifier les tendances clés de l’industrie. 🎮
EDA in R on Steam game data to analyze price distribution and its relationship with user reviews.
Cleaned and visualized 20K+ messy sales records for gaming products, building interactive dashboards in Tableau to reveal insights by product, region, and channel.
Explore the Valve 30th anniversary's impact on the gaming industry with insights into YouTube creator discovery using IndiTubeDb.
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