My Work

Challenge

University needed to identify at-risk students early and understand engagement patterns across 10,000+ online learners in multiple programs.

Solution

Designed and implemented an interactive analytics dashboard tracking login frequency, assignment completion, discussion participation, and video engagement. Built predictive model to flag students needing support.

Impact

• 30% increase in course completion rates
• Early identification of 85% of at-risk students
• Enabled timely interventions saving 200+ students from dropping out
• Dashboard adopted across 15 academic programs

Challenge

School district invested $2M in teacher professional development but lacked evidence of impact on teaching practices and student outcomes.

Solution

Conducted comprehensive evaluation combining surveys, classroom observations, student assessment data, and interviews. Used mixed-methods approach to assess both quantitative outcomes and qualitative changes.

Impact

• Documented 45% increase in evidence-based teaching practices
• Identified specific program components driving greatest impact
• Findings informed redesign leading to 60% cost savings
• Results presented to board and published in practitioner journal

Challenge

EdTech company needed to understand how learners navigate their platform and identify where users get stuck or disengage.

Solution

Created visual learner journey maps showing common pathways, decision points, and drop-off locations. Analyzed 100,000+ user sessions to identify patterns and segment users by behavior.

Impact

• Identified 5 critical bottlenecks causing 70% of drop-offs
• Recommendations led to UX improvements increasing completion by 40%
• Segmentation enabled personalized learning recommendations
• Journey maps now core part of product development process

Challenge

Testing organization needed to improve assessment quality and ensure items were functioning as intended across diverse learner populations.

Solution

Conducted comprehensive item analysis using classical test theory and IRT methods. Examined difficulty, discrimination, and potential bias. Provided detailed recommendations for item revision or removal.

Impact

• Improved assessment reliability from 0.75 to 0.89
• Identified and removed 12% of problematic items
• Validated assessment across different demographic groups
• Developed automated item analysis pipeline for future use

Challenge

Corporation invested heavily in employee training but struggled to demonstrate ROI and business impact to leadership.

Solution

Developed comprehensive evaluation framework linking training completion to performance metrics, productivity data, and retention rates. Created executive dashboard showing training ROI across departments.

Impact

• Documented $4.2M in productivity gains from training
• Showed 25% reduction in turnover among trained employees
• Analysis justified additional $1M training budget investment
• Framework now used for all corporate learning initiatives

Challenge

Online learning platform wanted to provide personalized course recommendations to improve learner engagement and outcomes.

Solution

Built machine learning model using collaborative filtering and content-based approaches. Incorporated learner history, performance, interests, and goals to generate personalized recommendations.

Impact

• Increased course enrollments by 35%
• Improved course completion rates by 28%
• 85% of learners rated recommendations as helpful
• Model continuously improved through A/B testing