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Click here or scroll down to respond to this candidateEDUCATIONCandidate's Name
Dallas PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn LinkThe University Of Texas At Dallas Dallas, TexasMasters in Business Analytics Graduation Date: Dec 2024 PROJECT EXPERIENCEThe University Of Texas at Dallas Dallas,TexasCardo vascular risk: Oct 2023 - Dec 2023Implemented advanced machine learning algorithms, such as logistic regression and random forest techniques, to develop cardiovascular risk prediction models with 90% accuracy rate in risk assessment and preventive healthcare. Conducted comprehensive data preprocessing tasks, including bivariate analysis and outlier treatment, resulting in a 15% increase in model accuracy. Utilized grid search for tuning to optimize predictive performance. Collaborated with cross-functional teams to integrate predictive models into existing healthcare systems, leading to a 20% improvement in patient risk identification and personalized care recommendations. Car safety analysis: Feb 2023 - Aug 2023Implemented combined safety measures (Airbags and Seat Belts), achieving a 25% reduction in collision fatality rates through pre- and post-implementation data analysis. Developed an 88% accurate Logistic Regression Model predicting Survival Rates based on Safety Measures, demonstrating the model's precision. Identified a 65-mph critical speed threshold, informing accident prevention strategies for safer driving.Vehicle management system: Feb 2023 - Aug 2023Orchestrated a versatile Appian Developer delivering award-winning vehicle management app, distinguished as a hackathon finalist for leveraging cutting-edge solutions in BPMN, SAIL, and RPA for unparalleled innovation and efficiency.Mayo Clinic, AIG Hospitals Hyderabad, TelanganaMinimize equipment downtime: Jan 2022 - Jul 2022Analyzed historical data to identify trends and patterns, leading to the development of new maintenance protocols that resulted in a 40% decrease in equipment-related disruptions. Collaborated with cross-functional teams, including engineers and technicians, to implement a real-time tracking system for equipment uptime, maintenance frequency, and repairs, resulting in a 30% increase in overall efficiency. Utilized predictive maintenance models to anticipate equipment failures before they occurred, reducing downtime by 25% and saving the company $500K in emergency repair costs. WORK EXPERIENCEMayo Clinic, AIG Hospital: Hyderabad, TelanganaHealthcare Data Analyst: Sep 2021 - Oct 2022Analyzed patient care pathways using data-driven strategies, resulting in a 68% decrease in average length of stay and a 23% increase in resource utilization efficiency. Implemented predictive modeling to forecast patient volumes and resource needs, leading to a 15% reduction in overtime costs and improved staff allocation.Collaborated with cross-functional teams to develop comprehensive dashboards monitoring key performance indicators, resulting in a 30% decrease in readmission rates and enhanced real-time visibility into operational metrics. Harvey-Biomedical: Bengaluru,KarnatakaData Analyst Internship: Jul 2019 - Dec 2019Documented the collaborative work culture at Harvey Biomedical, enhancing innovation and creativity, leading to a 20% increase in team morale and productivity.Implemented feedback from mentors to refine data analysis techniques, achieving a 15% boost in project efficiency and delivering results ahead of schedule.Assisted in managing project phases from planning to production, contributing to a 10% reduction in production time and successful delivery of high-quality products.LEADERSHIP EXPERIENCESUAAB: Dallas,TexasSUAAB organizer: Feb 2023 - Jan 2024Coordinated with multiple teams, including sponsors, speakers, volunteers, and social media management, to ensure seamless execution of events resulting in 30% more retention over the past year, setting a high bar. Street-Cause: Hyderabad,TelanganaVeteran contributor: Oct 2017 - Oct 2020Collaborated with animal welfare organizations to enhance the impact of Street Cause and improve animal welfare outcomes and reduced animal cruelty cases by 60% reportedly SKILLS & INTERESTSProgramming Skills: C Python C++ R MySQL MongoDB, Big Data Technologies: Impala Apache Hive Skills: Hue Hadoop Flume Apache Spark Apache Sqoop, Tools: MS Word Excel PowerPoint MATLAB UiPathAlteryx SAP Data modelling Tableau PowerBI AWSau Interests: Technology and Innovation, Technology Enthusiast, Personal Growth AWARDS AND HONORSRecognized for exceptional performance in a science competition by Royal Society of London(Chemistry), showcasing scientific knowledge and research skills,2013. Secured Angel Investment: Successfully attracted angel investment for a groundbreaking eco-friendly home project, leveraging modern technology to innovate sustainable housing solutions and drive environmental impact. |
