Areas David Otoosakyi is Knowledgeable in:
Machine Learning, Exploratory Data Analysis, Hypothesis testing, Statistical Analysis, Principal Component Analysis, Recommendation and Report Writing
Techniques David Otoosakyi Uses:
problem definition
Decide on an approach
Data Collection
Analyze data
Result Interpretation
Divide-and-Conquer
David Otoosakyi's Problem Solving Skills:
- Data Visualisation
- Data Analysis
- Predictive Modelling
- Hypothesis Testing
- Statistical Analysis
David Otoosakyi's Problem Solving Experience:
- I carried out a Principal Component Analysis on a survey of why people don't learn SPSS
- I cleansed a messy data and also carried out an exploratory analysis on it (including visualisation)
- I built a machine learning model to predict employee salary.