On the Super Sales Project, I integrated SQL databases with Python to analyze sales and e-commerce data. I cleaned and transformed the data, then built interactive dashboards in Power BI and Google Sheets to track sales trends and KPIs.
For my Stock Market Analysis project, I collected historical stock data using yFinance and web scraping. I prepared and analyzed the data, then created visualizations and reports in Excel and Python to support investment decisions.
In the Titanic Prediction Project workshop at ITI, I handled data preprocessing, cleaning, and exploratory analysis, including missing values and feature selection. I collaborated with team members on a machine learning pipeline.
At Xceed, I analyzed customer tickets and built KPI reports covering SLA performance and churn indicators to support service improvement. My IBM Data Analyst Professional Certificate covered Python, SQL, Excel, Power BI, data cleaning, and exploratory analysis.
