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Skills

My technical journey spans R programming for statistical inference, Python ecosystem mastery for data analysis, data engineering, data science and machine learning applications, and SQL expertise for database management. Recent DBT certification and extensive LinkedIn Learning portfolio demonstrate commitment to staying current with modern data engineering practices.

Programming & Analytics

Python: Advanced (Pandas, NumPy, Scikit-Learn, TensorFlow, Django)

R: Expert (Tidyverse, Pacman, Statistical modelling, time series, Bayesian analysis)

SQL: Expert (complex queries, optimisation, database design)

Statistical Analysis: Advanced (hypothesis testing, experimental design, causal inference)

Data Engineering & MLOps

DBT: Certified (data transformations, version control, testing)

Cloud Platforms: Google Cloud Platform, AWS (data pipelines, deployment)

Version Control: Git, GitHub (collaborative development, CI/CD)

Database Systems: MySQL, PostgreSQL, BigQuery, SQL Server, Snowflake

Business Intelligence & DataVisualisation

Tableau: Advanced (complex dashboards, statistical functions)

Looker: Advanced (LookML, data modelling)

R Shiny: Interactive applications and dashboards

Analytics Platforms: Expert (GA4, Adobe Analytics, custom dimensions, advanced segmentations, etc)

Portfolio