Profile Summary

I’m a data analyst with a background in Economics and Finance, blending strong analytical thinking with commercial insight. I’ve independently built a portfolio of data projects using SQL, Excel and Power BI, focusing on practical business challenges across marketing and retail analytics. My skill set includes end to end data work, from cleaning and querying raw datasets to developing dashboards and delivering insight reports.

I’m experienced in SQL, Excel (PivotTables, formulas, charts) and Power BI (visuals), with hands on experience using GitHub for version control and documentation. Currently expanding my skills into Python (Pandas, NumPy) and statistical analysis. I thrive in data driven environments where problem solving, structure and business impact come together.

Certifications & Learning

Completed Courses & Badges

• HackerRank – Certified August 2025

Demonstrated fundamental SQL querying ability, including filtering, joins, aggregations and subqueries. View Certificate

• Microsoft Learn – Power BI for Beginners Self paced learning path covering dashboards, DAX and data modeling. Explore Course
• Kaggle – SQL & Data Cleaning Micro Courses Hands on practical tutorials for building real SQL workflows and preparing data. Kaggle Learning

In Progress

• Python Basics (Pandas, NumPy, Matplotlib) Self taught Python fundamentals with projects and exercises.

Projects Portfolio

Marketing Campaign Performance Analysis

Tools: Google Sheets, Power BI, GitHub

Project Overview:

Designed an interactive Power BI dashboard to analyse the performance of a multichannel digital marketing campaign. The analysis focused on KPIs such as ROI, CTR, conversion rates and audience engagement across time, platforms and demographics. This project complements prior SQL based analysis by showcasing end to end BI reporting skills.

Key skills demonstrated:

• Data cleaning and transformation using Excel (e.g., currency/percentage formatting, column splitting, calculated metrics)