Machine Learning Data Analyst

Phone - 667-***-**** *******@***.*** ************@*****.***

EDUCATION

George Mason University, Fairfax, VA May 2024

Master of Science, Health Informatics- Health Data Analytics GPA: 3.95 SIMS College of Pharmacy, Guntur, India May 2020

Bachelor of Pharmacy, Pharmaceutical Science GPA: 3.75 TECHNICAL SKILLS

Coding Languages: Python, R, MATLAB, SQL.

Visualization & Tools: Tableau, Power BI, Excel, STATA. Data Mining: Weka.

Artificial Intelligence: Machine Learning, Neural networks, LLMs, Deep learning. EXPERIENCE

Research Assistant, George Mason University Jan 2025 – present

• Conduct Comprehensive analysis of caims data from all the states in USA to identify trends and draw data-driven conclusions.

• Collaborate with faculty to interpret analytical findings, guiding research projects and informing policy recommendations. Health Data Analyst, Intern, Pavilion Medical Home Centre Feb 2024 – May 2024

• Managed monthly claim reports and ensured timely correspondence with carriers and clients.

• Assessed clinical quality in Home Health, achieving 20% improvement. Used statistical analysis and machine learning to optimize Emergency Department utilization.

Project Executive, Prime Health Care Services, California, USA. Feb 2021 – Jan 2022

• Optimized eTARs and BHU Clinical claims processes for top California hospitals; streamlined denials management procedures, resulting in a 25% reduction in denial rates and a 20% increase in revenue recovery.

• Optimized HL7 protocols, eTARs, and Clinical Appeals for Behavioral Health units; conducted thorough analysis of 500+ EHRs and EMRs in Epic, uncovering strategies that boosted revenue by 22% and cut costs by 18%.

• Leveraged expertise in ICD 10, CPT, HCPCS, and DICOM to enhance documentation accuracy, resulting in a 20% increase in correct claim submissions and faster insurance payouts.

• Refined claims submission procedures, enhancing processing efficiency by 20% and lowering denials by 15%; adeptly managed 1,000+ Medicare and Medicaid claims each month within the US Healthcare sector.

• Engineered collaborative efforts across departments to tackle intricate claims, enhancing processing speed by 20% and attaining a 95% success rate for settling reimbursement requests within 30 days. PROJECTS

• Early Breast Cancer Detection: Implement a Convolutional Neural Network for Image Classification: Revolutionized breast cancer detection with CNN upgrades; achieved a 27% increase in categorizing accuracy, enhancing early treatment options and saving lives through advanced technology. Skills: Convolutional Neural Network, Deep learning, Tuning, Hyperparameter Optimization.

• Predictive Modeling for Heart Disease Detection: Spearheaded a heart disease detection project by managing data preprocessing with pandas and sklearn, implementing PCA for dimensionality reduction, and optimizing neural network architecture with GA and Optuna, achieving 92% accuracy. Skills: Optimization Algorithms, Communication.

• Predict Length of ICU Stay for Newborns:

Engineered a predictive data mining model incorporating demographic and clinical data to forecast newborn ICU stays, enhancing resource allocation and hospital management efficiency by 35%. Skills: SQL, Python, Data Analytics and Data Mining.

• Analyze the predictors of the number of chronic conditions among 3-5-year-old children: Investigated socioeconomic factors affecting chronic health in young children, focusing on poverty and insurance stability; findings contributed to policy adjustments reducing chronic conditions by 25% Skills: STATA, Advanced Statistics

• Associations between Chronic Health Conditions, Age, Gender, and Medicaid Status with Falls among U.S. Residents in Residential Care Settings:

Researched correlations between chronic health conditions (e.g., stroke, heart disease, Alzheimer's/dementia, COPD) and falls in residential care settings. The 2010 National Survey of Residential Care Facilities (NSRCF) data was used to analyze relationships with age, gender, and Medicaid status.

Skills: STATA, Advanced Statistics, Data Analytics.

• Readmissions Data Analysis of Glendale Adventist Medical Centre: Data Visualization and Workflow Analysis of Readmissions in Glendale Adventist Medical Centre. Skills: Tableau, Excel.

PUBLICATIONS AND RESEARCH EXPERIENCE

Indian patent on "An Efficient Formulation of Hydroxypropyl Cellulose-Sodium Alginate Based Mucoadhesive Microspheres for Improved Nevirapine's Release" with Application No: 202*********.

Published research article on "A Study to Validation Estimation of Tenofovir, Bictegravir, and Tenofovir in Combined Tablet Dosage Form by RP-HPLC Method" published in GIS Science Journal, Vol 9 with ISSN NO:1869-9391. LinkedIn: https://www.linkedin.com/in/sukeerthika-dayala-762090267/ SUKEERTHIKA DAYALA

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