Qamer Javed

Predictive Modeling with XGBoost: Solving Structured Data Challenges with Gradient Boosting

Structured data — stored in rows and columns across spreadsheets, databases, and data warehouses — powers the majority of business analytics worldwide. Whether it is customer transaction records, sensor readings, or hospital admissions data, making accurate predictions from tabular datasets remains one of the most common and valuable tasks in data science. XGBoost (Extreme Gradient…

Read More

Data Lake Architecture: Storage repository holding vast amounts of raw unstructured data

Modern organisations generate data from everywhere: apps, websites, sensors, CRM systems, call logs, PDFs, images, and clickstreams. Much of this information arrives in messy formats and at high volume. A data lake is designed for this reality. Instead of forcing every dataset into a strict structure upfront, a data lake stores raw data first and…

Read More
Back To Top