Projects Showcase

Selected analytics work across AI, SQL, Python and Excel.

This page is designed as a recruiter-friendly overview of the practical work behind my portfolio. The projects show querying, cleaning, analysis, visualization and automation.

AI project visual

Project AI

Data cleaning, EDA, automation and modeling workflows.

Python became my main tool for professional data work because it scales better for repetitive tasks, larger datasets and more flexible analysis. This section presents common libraries and methods I use for data preparation, exploration, visualization and automation.

Python pandas NumPy Matplotlib Seaborn Scikit-learn
SQL project visual

Project SQL

Relational querying and structured data extraction.

This project showcases SQL functions and patterns I am confident using: filtering, grouping, sorting, joins and aggregate functions. The goal is to demonstrate how I approach structured data and prepare it for further analysis.

SQL WHERE GROUP BY JOINs Aggregations
Python project visual

Project Python

Data cleaning, EDA, automation and modeling workflows.

Python became my main tool for professional data work because it scales better for repetitive tasks, larger datasets and more flexible analysis. This section presents common libraries and methods I use for data preparation, exploration, visualization and automation.

Python pandas NumPy Matplotlib Seaborn Scikit-learn
Excel project visual

Project Excel

Advanced spreadsheet logic for analysis and reporting.

I have used Excel extensively for more than four years, solving practical problems that required careful structure, creative formulas and clean reporting. This project highlights examples of applying Excel skills in realistic analytical scenarios.

Excel INDEX + MATCH Nested IFs Pivot tables DAX Conditional formatting