Data Science
Project Overview
Although I call this "Data Science," I'm well aware that I'm still quite far from being a data scientist. My background is in blasting engineering, but I believe these two fields aren't as distant as they might seem. In fact, combining them creates significant value.
Here I share some of my data collection projects, Power BI dashboard developments, and thanks to advancements in AI, I've implemented several API integrations that facilitate faster data insights.
Key Focus Areas
Data Collection
Developing efficient methods for gathering and organizing industry-specific data that provides actionable insights for blasting operations and beyond.
Power BI Dashboards
Creating intuitive and informative dashboards that transform complex data into visual insights accessible to technical and non-technical stakeholders.
AI API Integration
Leveraging AI technologies through API integrations to enhance data analysis capabilities and accelerate insight generation.
Project Goals
- Bridge the gap between blasting engineering and data science
- Develop interactive dashboards for real-time operational monitoring
- Create automated data processing pipelines for continuous insights
- Implement AI-powered analysis to enhance decision-making
Case Studies
Blasting Performance Analysis
Using data collection and visualization techniques to optimize blasting parameters and improve operational efficiency.
Operational Dashboard Development
Implementing Power BI dashboards that provide real-time visibility into key performance indicators for mining operations.