Collecting, processing, and analyzing data to identify trends and patterns.
Developing and implementing data models and algorithms like decision tree,svm,knn,xgboost etc
Creating reports and dashboards to visualize data and communicate key insights to stakeholders.
Conducting statistical analysis and hypothesis testing(a/b testing,chi squared testing,ANOVA .
Collaborating with cross-functional teams to identify business problems and propose data-driven solutions.
Conducting data quality checks to ensure accuracy and completeness of data.
Staying updated on the latest trends and tools in data science and analytics.