Aspiring Machine Learning Engineer
Data Analyst specialising in reporting, analytics and visualisation. Currently building expertise in machine learning, AI systems and predictive modelling.
About Me
After years of turning raw data into dashboards, reports and actionable insights, I started asking: what if the data could make the decisions itself? That curiosity is what pulled me into machine learning.
I am currently a Data Analyst, specialising in Reporting and Data Visualisation. Driven by an intense curiosity about the future of AI and Technology, I am transitioning into becoming a Machine Learning Engineer.
Current focus: Machine Learning Engineering. When I'm not developing my skills and training models, you'll find me going for a run or exploring some city.
Frameworks
Scikit-learn
Cloud/Ops
Azure
Languages
Python, SQL, Clickhouse SQL
Data
Pandas, NumPy
My Journey
Started the Google Data Analytics Professional course in Dec 2022. Landed my first data role at XCM in Mar 2023.
Building expertise in reporting, data visualisation and analytics. Working with Python, SQL and BI tools day to day.
Completed the Codecademy ML Engineer path. Deep-dived into ML fundamentals, statistical modelling and scikit-learn.
Practising and applying ML skills to real-world projects, building an end-to-end portfolio.
Designing and deploying scalable ML/AI systems that turn complex data into actionable intelligence.