// Data_Analytics_Portfolio
Applied Mathematics foundation meets business intuition. Turning raw data into actionable insights using SQL, Tableau and Python. Focused on data storytelling, business impact, and real-world analytics projects.
// About_Me
I am a Business Intelligence Intern and a Junior Data Analyst with a solid foundation in Applied Mathematics and practical expertise in SQL, Python, and Power BI. I combine analytical rigor with business experience gained through years in the retail gaming industry.
Currently pursuing a professional diploma as a Software Technician to bridge the gap between data analysis and technical implementation, enabling me to not just find insights, but build the pipelines and tools around them.
My entrepreneurial background means I always think about what the business impact actually is and not just what the data says but what to do about it.
// Toolkit
The technologies and methodologies I use to turn raw data into business value.
// My_Work
End-to-end data projects from analysis to visualization — all available on GitHub.
Excel · Python · Power BI
Combining 12 years of experience as an OPAP agency owner I extract real data and created an end-to-end pipeline that answers critical business questions. Led an EDA to evaluate a 2.62% decline in commission rates over five years.
View on GitHub →
SQL · Data Engineering
Designed a RDB using MySQL to ETL synthetic data, using JOINS, CTEs and VIEWS to support business reporting and decision-making for 5 different stakeholder roles.
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C# · .NET 8 Console App
A lightweight, production-ready ETL utility built in C# utilizing .NET 8. Automated process of importing large-scale datasets from flat CSV files into a structured MSS database using high-performance streaming techniques.
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Python · Data · Visualization
A Stock Market Simulator with a custom GUI and live portfolio monitoring. Inspired by and expanded from advanced logic concepts during Stanford's Code in Place program.
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MS Excel · EDA · Dashboard
Interactive Excel dashboard with pivot tables, dynamic charts, and slicers to explore e-commerce KPIs at a glance.
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R · Analytics
This project analyzes sales data for 3 products over time. The goal is to clean the dataset, handle missing values, and extract key business insights using R.
View on GitHub →
Thesis
Research · Big Data
A comprehensive academic literature review examining the transition from empirical coaching to data-driven decision-making. Deep dive into Optical Tracking (Computer Vision), Wearables (IoT), advanced metrics (xG, xA, Net Ratings, TS%), and real-world case studies (Liverpool FC, Brentford, NBA).
// Contact
Open to collaborations, data projects, and opportunities in analytics or software development.