Skills
A blend of data science & ML, cloud & data engineering, and visualisation & communication skills, grounded in practical use cases.
Data Science & ML
AppliedSupervised ML and applied predictive modelling.
Logistic RegressionDecision TreesRandom ForestXGBoostAdaBoostEDA
Feature EngineeringHyperparameter TuningModel EvaluationStatistical Modelling
Supervised LearningUnsupervised LearningExperiment Design
Programming & Tools
CoreCore stack for analytics and ML workflows.
PythonPandasNumPyscikit-learn
MatplotlibSQLJupyterGit
R (basic)
Cloud & Data Engineering
PipelinesDesigning and maintaining scalable data pipelines.
AWS S3AWS EMRAWS RedshiftSnowflakeDatabricksMicrosoft Azure
ETL / ELTData PipelinesData WranglingData Cleaning
Visualisation & Storytelling
BIHelping stakeholders understand what the data is saying.
Power BITableauData Narratives
Stakeholder Communication
Soft Skills
Ways of workingHow I like to work with teams and stakeholders.
Analytical ThinkingStructured Problem-SolvingCollaboration
Consulting-style Communication
Want proof? Check Projects and Dashboards.