Data Analyst
Turning messy data into something insightful
I turn raw data into clear analysis, interactive dashboards, and actionable insights, with a strong foundation in Python, BI, and machine learning.
Grid Search CV explained through the art of making chai. A small, practical walkthrough of hyperparameter tuning with code examples.
Stack
Cleaning, exploring, and working with structured data.
Interactive dashboards, measures, and business KPIs.
Charts, dashboards, and notebook-based exploration.
Transforming source data into usable analytical models.
Technical depth for prediction and unsupervised analysis.
Development environment and analytical workflow.
Projects
GitHub repository analytics dashboard built with the REST API, Power Query, Power BI, and DAX to explore activity and development KPIs.
Business intelligence dashboard for e-commerce sales, customer behavior, and key business metrics using Power Query, Power BI, and DAX.
Predicted room occupancy from 54 Intel sensors with Random Forest and K-Means, considering noisy data, class imbalance, recall, precision, and false negatives.
Grouped Spotify tracks from a 1.2M-song dataset by audio characteristics using K-Means and unsupervised learning.