Zyfra - Predicting Recovery Efficiency in Mining Operations
Target rich random forest regression, time-series fill experiments, and actionable results.
Data Science & Engineering, Automation Design, Business Intelligence, Machine Learning
Showcasing my work
In my current role I lead data-driven marketing, advertising and SEO initiatives, automate workflows, and develop ETL processes to ensure data integrity across sales and order datasets. My approach combines a deep technical skill set with a passion for solving complex business challenges.
Target rich random forest regression, time-series fill experiments, and actionable results.
Modular model building workflow and bootstrapped profit calculations.
Exploratory data analysis of global video game releases and sales.
Prediction of shipping method and insurance values with Dense Neural Networks, and Multiple Linear Regression.
Prediction of Parkinson's disease progression with clinical and protein abundance data utilizing Dense Neural Networks, and Random Decision Forests.
A theoretical model for satellite-like movement and energy collection based on Particle Swarm Optimization and the Dyson Sphere megastructure model.