Summary: "Un-learning and re-learning Machine Learning every waking day. Soaking in all the linearly increasing hype around state-of-art models but more than ever curious about industry specific model interpretability, scaling systems, reducing costs & latency."I'm a results-driven data analytics and machine learning professional specializing in healthcare. My expertise lies in developing scalable predictive models and leveraging explainable AI techniques to drive impactful outcomes. With a proven track record in large-scale dataset analysis, I excel in collaborative, cross-functional environments.
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Data ScientistDuke Institute For Health InnovationDurham, Nc, Us -
Machine Learning ScientistDuke Institute For Health Innovation Jul 2024Durham, North Carolina, United States- Working at the intersection of Digital Healthcare and Applied Machine Learning to address clinical challenges across Duke Health systems.- Broad Domain focus: Patient prognosis and outcomes, care management programs, real-time solutions to address clinical workflow burdens, decision support systems harnessing AI, ethical AI in healthcare.- Broad Tech focus: Applied machine learning and generative AI (LLMs), reducing model inference time, robust data pipelines, model interpretability, AI governance and regulation. -
Data ScientistCohere-Med Jun 2022 - Dec 2023Durham, North Carolina, United States- Developed, tested, and monitored robust software modules and data pipelines to integrate an AI model into a leading EHR system using CI/CD. - Externally validated a deep learning model and researched evaluation techniques to enhance interpretability and promote model generalizability within and across healthcare systems.- Facilitated model transparency and risk output interpretation through visually appealing, engaging dashboards. -
Graduate Research AssistantSyracuse University College Of Engineering And Computer Science Aug 2021 - Aug 2022Syracuse, New York, United States- Worked as a graduate research assistant at Ubiquitous Computing Lab.- Developed python modules to classify sentiments on audio and text data. -
Data ScientistCohere-Med Oct 2018 - Aug 2021Bengaluru Area, India• Developed and researched novel methodologies using Predictive models around improving in-patient outcomes and prognosis in a critical care setting.• Responsible for development and validation of predictive models using Machine Learning and Deep learning on Keras and Tensorflow frameworks.• Contributed to successful Development, Integration, Deployment, and continual management of the projects at client sites through Docker containers and AWS cloud platform.• Worked on Tableau, the visualization tool to build various dashboards across various projects. -
Data Science InternCohere-Med Jun 2018 - Oct 2018Bengaluru, Karnataka, India• Researched and analyzed clinical case studies across Critical Health Care systems.• Extracted, Cleansed, and Visualized clinical data from multiple data sources such as MIMIC (MIT's healthcare database) and eICU Collaborative Research Database.• Developed Predictive models to predict In-patient readmission within 30 days post discharge using Machine learning algorithms including but not limited to, SVM, logistic Regression, Random forest and Artificial Neural Networks.
Anusha Prakash Education Details
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Computer Science -
Acharya Patasala College Of Engineering A. P. SComputer Science
Frequently Asked Questions about Anusha Prakash
What company does Anusha Prakash work for?
Anusha Prakash works for Duke Institute For Health Innovation
What is Anusha Prakash's role at the current company?
Anusha Prakash's current role is Data Scientist.
What schools did Anusha Prakash attend?
Anusha Prakash attended Syracuse University College Of Engineering And Computer Science, Acharya Patasala College Of Engineering A. P. S.
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Anusha Prakash
San Jose, Ca2ansys.com, apache-da.com3 +140845XXXXX
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Anusha Prakash
San Francisco Bay Area4gmail.com, adobe.com, adobe.com, gmail.com1 +141296XXXXX
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Anusha Prakash
Ms In Information Systems | Northeastern University | Iam Consultant | Privileged Access ManagementBoston, Ma
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