Perform data cleaning, validation, and exploratory data analysis (EDA)
Develop basic statistical and machine learning models with supervision
Write efficient SQL queries to extract and analyze data
Create standard reports, dashboards, and visualizations
Assist in feature engineering and model testing
Document analysis steps and assumptions
Support senior team members in ongoing projects
Collect, clean, and preprocess structured and unstructured datasets
Perform exploratory data analysis (EDA) to identify trends and patterns
Validate data accuracy, completeness, and consistency
Support development of basic statistical and machine learning models
Assist in feature engineering and model evaluation
Translate analytical results into business insights
Create dashboards and reports using tools like Power BI / Tableau / Excel.
Present findings clearly to technical and non-technical stakeholders.
Work closely with business, IT, and senior analytics teams.
Document methodologies, assumptions, and outcomes.
Support ongoing analytics and automation initiatives.
