Data Collection & Preparation:Gather data from diverse sources (e.g., CODA, OMNI, GPM) and clean datasets to remove duplicates, errors, and outliers. Automate repetitive tasks. Analysis & Interpretation:Perform exploratory data analysis to identify patterns, correlations, and trends. Develop predictive models and dashboards to forecast outcomes. Reporting & Visualization: Create interactive reports and visualizations (Tableau, Power BI) to communicate findings to stakeholders. Collaboration: Partner with teams to align data strategies with business goals.

Technical Skills:Proficiency in SQL, Python/R, and data visualization tools (Power BI). Experience with statistical analysis, machine learning basics, and database management. Soft Skills:Strong communication skills. Problem-solving mindset and attention to detail. Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or related fields.