Business Analyst Data Analysis

EDUCATION

Sai Omkaar Gunti

Dallas 469-***-**** **********@*****.*** LinkedIn Link

The University Of Texas At Dallas Dallas, Texas

Masters in Business Analytics Graduation Date: Dec 2024 PROJECT EXPERIENCE

The University Of Texas at Dallas Dallas,Texas

Cardo vascular risk: Oct 2023 - Dec 2023

Implemented 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 2023

Implemented 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 2023

Orchestrated 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, Telangana

Minimize equipment downtime: Jan 2022 - Jul 2022

Analyzed 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 EXPERIENCE

Mayo Clinic, AIG Hospital: Hyderabad, Telangana

Healthcare Data Analyst: Sep 2021 - Oct 2022

Analyzed 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,Karnataka

Data Analyst Internship: Jul 2019 - Dec 2019

Documented 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 EXPERIENCE

SUAAB: Dallas,Texas

SUAAB organizer: Feb 2023 - Jan 2024

Coordinated 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,Telangana

Veteran contributor: Oct 2017 - Oct 2020

Collaborated 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 & INTERESTS

Programming 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 UiPath

Alteryx SAP Data modelling Tableau PowerBI AWSau Interests: Technology and Innovation, Technology Enthusiast, Personal Growth AWARDS AND HONORS

Recognized 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.

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