Mohammad Maaz

I build data-driven dashboards and analyses using Python, SQL, Pandas, Excel, Power BI, Plotly, and Streamlit to turn raw datasets into decision-ready insights.

In my Fitness & Goal Trajectory Analyzer project, I cleaned CSV data, calculated rolling averages and week-over-week trends, and built interactive Plotly visualizations in a responsive Streamlit application for tracking weight, calorie intake, and long-term progress.

Through the BCG X Job Simulation, I analyzed campaign, channel, and customer-type data to identify effective combinations for new-customer acquisition. I created Excel pivot tables, slicers, and client-ready charts, then communicated a data-backed recommendation through a concise presentation and email.

I’m a Computer Science graduate focused on Data Analytics and Business Intelligence, with strengths in data cleaning, exploratory analysis, statistical analysis, visualization, and communicating findings to non-technical stakeholders.