Portfolio

Overview of data science, data engineering, analytics and machine learning projects and experience.

Data Analysis

Conducting Data Analysis in all kinds of complex data forms with the aim of generating informative insights and facilitate data driven decisions.

Machine Learning

Experience in implementing and deploying efficient machine learning models.

Experimentation (A/B testing)

Knowledge of designing controlled trial experiments and analysing their results with appropriate statistical methods following both frequentist and Bayesian approaches.

Data Engineering

Experience in designing and coding effective data pipelines utilising dbt, SQL, Python, Airflow, Docker and orchestration frameworks.

Data Visualisation

Efficient visualization experience for delivering key insights in an informative and easily digestible fashion towards business stakeholders.

Time Series Forecasting

Time series forecasting experience which is becoming increasingly vital for businesses, as the benefits of accurate predictions are becoming harder to ignore.

Automated Reporting

Extensive experience in development of automated and parametirized reports utilizing modern frameworks such as Quarto along with Python and R.