Sreenidhi Sridhar Email & Phone Number

United States

• Developed the vegetation management application, identified areas needing assistance with electric poles through tree trimming or pole brushing using image recognition and object detection with 15% reduction in operational costs.• Collaborated with cross-functional Generative AI teams to enhance project workflow efficiency by 20% through the integration of Azure Static Web Apps and GitHub.• Implemented continuous integration and continuous deployment (CI/CD) pipelines for the asset management portal by migrating 10 critical endpoints to Microsoft Azure Functions and designed utility functions.

Rochester, New York, United States

➢ Conducted a deep dive analysis of raw data from disputants in Rochester to identify patterns and trends, leading to the implementation of targeted interventions for violent crimes for the center of public safety initiatives in Rochester Institute of Technology.➢ Developed predictive model on Network Analysis data, accurately forecasting an increase in violent crime rates, prompting local law enforcement agencies to allocate resources more strategically.➢ Identified the pattern before and after intervention that happened in June 2020 in the Buffalo police records.

India

➢ Presented paper to senior faculty on predictive algorithms for Parkinson's disease with 96% accuracy using medical records.➢ Utilized machine learning to compare airfare prices across different airlines, yielding a cost reduction strategy.➢ Presented findings on key indicators such as respiratory rate & covid scores at a conference, driving conversations about effective treatments & preventative measures.

India

➢ Utilized random forest model to develop prediction feature for heart disease outcomes with 70% accuracy and 10% false positive rate.➢ Excelled in researching the utilization of Artificial Intelligence & Machine Learning algorithms for big data analysis.

Master'S Degree, Data Science, 3.83 Out Of 4.00

Bachelor Of Technology, Information Technology, 8.55 Out Of 10.00