I need an experienced data scientist who can take charge of AI/ML-driven data analysis and visualization across several sources. The work revolves around Python, tapping into PostgreSQL for relational tables, Neo4j for graph data, and a collection of unstructured text files. What matters most is solid AI/ML development: selecting and implementing the right algorithms, validating results, and turning findings into clear, insightful visuals. You will connect to each datastore in code, clean and merge the structured and unstructured portions, run exploratory analysis, build and evaluate models, then present the story in charts or dashboards that decision-makers can grasp quickly. Deliverables • Reproducible Python scripts or notebooks that pull data from PostgreSQL (psycopg2) and Neo4j (neo4j-driver) • Well-commented analysis and model code using pandas, scikit-learn, and common visualization libraries (matplotlib, seaborn, or Plotly) • A concise report or slide deck summarizing key insights and model performance • Setup instructions so the workflow runs end-to-end on another machine If you thrive on uncovering patterns in mixed data and explaining them visually, I’d love to work together.