I'm a Digital Technology for Business graduate with a genuine passion for transforming data into actionable insights and reliable data solutions. My goal is to use data to solve real-world business problems by building practical and reliable data solutions while continuously improving and expanding my skills through hands-on projects, practical experience, and lifelong learning.
My experience covers the analytics workflow, from data preparation, SQL analysis, dashboard development, and business reporting. Through personal projects, I've also gained practical exposure to modern data engineering concepts such as ETL pipelines, Databricks, Apache Spark, Delta Lake, and Lakehouse Architecture.
My portfolio showcases hands-on projects in Data Analytics, Data Engineering, and Machine Learning, with a focus on practical problem-solving, continuous learning, and applying industry best practices.
Projects demonstrating fundamental machine learning concepts and predictive analytics.
Coming Soon
- SQL
- Python
- Microsoft Excel / Google Sheets
- Power Query
- Power BI
- Tableau
- MySQL
- Databricks
- Apache Spark
- Delta Lake
- ETL / ELT
- Data Warehousing
- Medallion Architecture
- Classification
- Clustering
- Association Rule Mining
- Gemini
- ChatGPT
- NotebookLM
- Notion
- Modern Data Engineering
- Lakehouse Architecture
- Machine Learning
- 🏆 Get Started with SQL Analytics and BI on Databricks Simplilearn | Issued Jun 2026
- 🏆 Introduction to Tableau Simplilearn | Issued Jun 2026
- 🏆 Design and Manage Analytics Solutions using Power BI Microsoft | Issued Aug 2025
- 🏆 Data Analyst Manifesto DataRockie, The School of Generalist | Issued Jan 2025
- 🏆 Mini Data Science Bootcamp 2024 DataRockie, The School of Generalist | Issued May 2024