RISHIKRAJA GAJULA

Technology enthusiast with a strong focus on real-world applications. Utilizes data and tools to generate actionable insights and address practical challenges. Committed to learning and implementing innovative solutions that drive measurable impact.

Developed predictive models to estimate injury risk in NYC motor vehicle collisions using the NYPD dataset, supporting Vision Zero initiatives.

• Built logistic regression and random forest models for injury prediction.
• Performed data cleaning, feature engineering, and exploratory analysis.
• Analyzed behavioral, temporal, vehicle type, and borough-level factors.
• Provided actionable insights to reduce traffic-related injuries.

Prediction of Urban Water Quality using Ubiquitous Data

• Led a 4-member team to develop machine learning models in Python to predict urban water quality trends.
• Achieved 85% prediction accuracy on test data, enabling timely interventions for water safety.
• Generated actionable insights that helped identify key contamination sources and optimize monitoring schedules.

Premium Billing Accuracy and Policy Data Synchronization

• Designed a cloud-based data pipeline using AWS Lambda, S3, and Power BI to automate policy and billing data synchronization.
• Reduced manual reconciliation efforts by 70% and improved billing accuracy by over 95%.
• Created dashboards that provided real-time visibility into policy updates and discrepancies.

 Predictive Analytics for Project Timelines

• Built and deployed machine learning models on AWS EC2 to forecast project completion timelines.
• Improved project delivery prediction accuracy by 20%, aiding in better resource allocation and planning.
• Enabled proactive mitigation of schedule risks, reducing potential delays by 15%.