University of British Columbia's Graduate Management Consulting Association's Mini-MBA Teamwork
This project analyzes production bottlenecks in a simulated manufacturing company using Power BI. The objective is to identify process delays, critical departments, and operational constraints impacting order cycle time and SLA performance.
Modelo de Machine Learning para previsão de churn em telecomunicações. Projeto acadêmico (MBA SENAC-RJ) com Random Forest, validação cruzada e 92% de acurácia. Pipeline completo no Orange Data Mining.
Predicting online shopper purchase intention with 5 classification models. MBA Marketing Analytics project comparing Logistic Regression, Decision Tree, Random Forest, Gradient Boosting & XGBoost on 12,330 e-commerce sessions.
Power BI Dashboard for analyzing Crop Residue Management adoption and resource usage trends.
Financial & Manufacturing Analytics Dashboard using Tally Prime, Excel and Power BI
E-Commerce Sales Analysis using Python & Power BI
30‑day social media content strategy with posting cycle visualization and content calendar.
Dotazník pro prodej nemovitosti | MBA výzkum | Ing. Fedor Evseev
Python and Power BI project analyzing Indian stocks using historical prices, fundamentals, and news sentiment
FinergyCloud - AI-driven risk intelligence platform for renewable energy investors. Features IRR simulation, ESG scoring, AI-powered risk profiling, and emerging market intelligence. From MBA distinction project to startup innovation, transforming renewable energy investment decisions through smart analytics.
Analytics-Based DSS for SCM | Python · SQL · Tableau | MBA Research, University of Calcutta
Big Data Analysis using PySpark on BigMart Dataset with ML model and business insights.
Previsão de churn com Decision Tree, Random Forest e XGBoost — projeto de estudo de ensemble methods
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