• Lead client deliverables through project lifecycle, understanding stakeholder requirements and translating specifications to an analytics plan to generate insightful reports to better inform marketing and business strategy.• Reduced time spent by analyst on data processing by 50% per client deliverable by identifying and summarizing text information using word vectors and clustering with Python.• Implemented a Mutual Information based search algorithm used to facilitate the topic… Show more • Lead client deliverables through project lifecycle, understanding stakeholder requirements and translating specifications to an analytics plan to generate insightful reports to better inform marketing and business strategy.• Reduced time spent by analyst on data processing by 50% per client deliverable by identifying and summarizing text information using word vectors and clustering with Python.• Implemented a Mutual Information based search algorithm used to facilitate the topic exploration process in Python. • Collaborated with Data Science, Engineering, and Product teams to develop a novel model using cloud ML platforms to identify serious conversations as well as developing and deploying a Spanish based Natural Language Processing (NLP) sentiment model.• Aided in the acquisition of over $2.4M worth of new business by working with senior stakeholders to develop new business strategies and analytical plans. Show less

• Extracted actionable insights from first and third-party data sources, providing strategic recommendations for Fortune 500 clients.• Decreased analyst time on client deliverables by 20% using Python to automate data processing and dashboard creation using Plot.ly.

• Published as co-first author journal of IEEE Transaction on Medical Imagining.• Developed a software-based diagnostic tool to predict aneurysm rupture risk with 20% greater effectiveness rate than current clinical standards by employing a motion amplification algorithm that utilizes Dynamic Mode Decomposition.• Processed time-series image datasets using dimensionality reduction algorithms, image preprocessing pipelines, and correlation analysis using MATLAB.• Presented work at the… Show more • Published as co-first author journal of IEEE Transaction on Medical Imagining.• Developed a software-based diagnostic tool to predict aneurysm rupture risk with 20% greater effectiveness rate than current clinical standards by employing a motion amplification algorithm that utilizes Dynamic Mode Decomposition.• Processed time-series image datasets using dimensionality reduction algorithms, image preprocessing pipelines, and correlation analysis using MATLAB.• Presented work at the 8th World Congress of Biomechanics and participated in the American Society for Mechanical Engineering Best Paper Competition.• Showcased thesis results through a podium talk at the Biomedical Engineering Society’s 50th Annual Meeting. Show less

• Processed medical image data using HALO, Python, and R and performed statistical analysis that determined key insights to advance immunotherapy research and drug development.• Determined the viability of potential immunotherapies leveraging Digital Pathology pipelines,influencing eleven potential immunotherapies.• Developed reproducible code and documentation using Domino to reduce data transfer time andaccelerate future analysis.

• Prepared and manage the organization’s semesterly budget of $2,265• Maintained and organize financial records to ensure accuracy and consistency in documentation, as well as preserve monetary confidentiality• Allocated funds for different sponsored events in direct coordination with the Student Government Association