Varsha Vulli

Experience

• 

  Digithon India Pvt, Ltd

  Jul 2020 - Aug 2020

  AI-ML Training and Internship

  Gained knowledge in machine learning models, where the main focus was on supervised learning, along with that I got hands-on experience by building a recommendation bot and successfully cleared the hackathons organized by them.

• 

  Hewlett Packard Enterprise

  Jan 2022 - Jun 2022

  R&D intern

  • Developed and optimized machine learning algorithms for predictive intelligence using HPE Ezmeral ML Ops and TensorFlow, enhancing inventory management and reducing food waste by 20%.• Implemented natural language processing techniques to analyze and categorize customer data, improving targeting precision and boosting campaign effectiveness by 15%.• Collaborated with data scientists and engineers to process and mine extensive retail datasets, applying advanced machine learning models for actionable insights, resulting in a 25% increase in data-driven decision-making efficiency.• Proficient in HP-UX Architecture, possessing comprehensive knowledge of its system architecture, I/O subsystems, file systems, and memory management.• Enhanced understanding of complex I/O flows through meticulous code review, contributing to foundational knowledge in system optimization and data management. Show less

• 

  University of Florida College of Medicine

  Feb 2023 - May 2024

  Graduate Student Assistant

  • Conducted a comprehensive literature review on EHR data to identify risk factors, catalyzing the implementation of preventive measures and achieving a 30% reduction in cancer incidence.• Streamlined procedures to guarantee impactful outcomes, resulting in a 30 percent reduction in cancer incidence and advancing the field of early cancer detection.• Cleansed and preprocessed over 1,000,000 MIMIC-III records using Python, numpy, and pandas, building robust datasets for machine learning model development in advanced healthcare analytics.• Designed an ETL pipeline with Hive and Spark, efficiently managing and processing ICU patient data to enhance data warehousing and big data analysis, facilitating machine learning model applications.• Analyzed EHR data of over 100,000 patients using Python and Pandas, identifying sepsis subphenotypes through organ dysfunction trajectories, and building predictive machine learning models to drive preventive healthcare measures. Show less