What is the main goal for this project?

Apply Data Analytics Tools

Interns will utilize current data analytics tools and techniques to address real-world business challenges.

Solve Organizational Problems

Interns will use programming and analytical platforms to generate data-driven solutions for organizational needs.

Demonstrate Ethical Data Practices

Interns will uphold professional and ethical standards in managing and analyzing sensitive data.

Evaluate Broader Impact

Interns will critically assess the social and business implications of their data analysis and communicate these findings.

Collaborate and Communicate Effectively

Interns will work collaboratively with team members and stakeholders, delivering clear and actionable insights.

What tasks will students need to complete to achieve the project goal?

Main Duties:

• Clean and manipulate data from diverse sources
• Build dashboards and visualizations
• Conduct trend and variance analysis
• Collaborate across departments on analytics needs
• Perform ad hoc reporting and data storytelling

Outcomes/Deliverables:

🔍 Goal (Generalized)

Apply data science and analytics to sector-specific problems (e.g., risk modeling, operational efficiency, customer insights, usage metrics, or public data transparency) to drive decisions and improve performance.

📌 Project Overview & Objective Statement

🗂 Data Summary & Preprocessing

• Data Description:
• Cleaning & Preparation:
• Preprocessing Notes:

🧠 Analysis or Modeling Output

Depending on the project type:

• Predictive Model & Evaluation (e.g., credit risk, fraud detection, churn): Algorithm choice, accuracy, precision/recall, ROC-AUC.
• Segmentation/Classification Logic (e.g., retail customer groups): Clustering approach or rules used.
• Operational Optimization Output (e.g., clinic wait times): Queue modeling, bottleneck detection, throughput comparisons.
• KPI Dashboard or Time-Series Analysis (e.g., SaaS product usage): Interactive visuals and usage metrics over time.
• Open Data Visualization Tools (e.g., Tableau, Power BI, GIS): Maps or charts for public indicators.

📊 Insights Report

• Key Findings: Risk drivers, operational inefficiencies, customer clusters, high-usage patterns, or equity gaps.
• Visualizations: Supporting graphs, tables, and dashboards with filters or drill-downs.
• Trends & Anomalies: Unexpected spikes, lags, or deviations.

✅ Recommendations

• Finance: Credit policy adjustments or fraud alert rules.
• Healthcare: Scheduling improvements or resource reallocation.
• Retail: Tailored marketing or stock planning per segment.
• Technology: UX or feature adjustments to improve retention.
• Public/Non-Profit: Policy priorities or community engagement tactics.

📽 Stakeholder Presentation

• Clear, visual summary of the problem, approach, findings, and actionable recommendations.
• Tailored to non-technical audiences (e.g., business leaders, clinicians, nonprofit managers, city officials).

💬 Reflection or Learning Report

• Summary of methods, skills applied, and decisions made during the project.
• Challenges faced and how they were addressed.
• Personal or team reflections on real-world application and future improvements.