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PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn GithubPROFESSIONAL SUMMARYSkilled healthcare professional with expertise in health and data analytics, seeking to pivot into a Health Informatics career by lever- aging clinical experience and data-driven insights to enhance patient care and streamline healthcare technology integration. SKILLS Programming & Databases: Python, MS SQL, XML, Weka, R Studio, Netica, Excel, Tableau, Power BI, PyTorch, TensorFlow. Web Development: HTML5, CSS, Linux OS, Flask. Machine Learning & Analytics: Regression, Predictive Modeling, Data Mining, Neural Networks, Data Preprocessing, Propen- sity Matching, Causal Networks, Image Processing, Large Language Models. Healthcare Data & Standards: Claims and EHR Data, CPT/ICD Codes, ELIX Codes, SNOMED CT, LOINC, RxNorm, HIPAA, 21 CFR, HL7, FHIR, Core Public Health Principles. Health Administration & Compliance: Healthcare operations, quality assurance, regulatory compliance. EDUCATIONGeorge Mason University May 2025Master of Science in Healthcare Informatics - HealthCare Data analytics. Relevant Coursework: Healthcare Data Analysis, Database Systems, Health Data Vocabulary, Data Mining, Predictive modeling, Image processing. Malla Reddy Institute of Dental Sciences April 2022 Bachelors in dental surgeryRelevant Coursework: Pharmacology, Quality Patient Care, EHR Systems, Patient Assessment, Data Collection, Data Analysis. ACADEMIC PROJECTSDiabetic Retinopathy Detection using InceptionV3 CNN [Github Link] Python, SQL September 2024 Developed a diabetic retinopathy classification model using InceptionV3 with 5,612 retinal images, achieving 71.78 percent validation accuracy after fine-tuning, addressing class imbalance through data augmentation and class weighting. Utilized both TensorFlow and PyTorch frameworks to compare model performance, applying techniques like early stopping and dropout to prevent overfitting.Data Analysis on Drug Review Dataset [GitHub Link] SQL, Binarization, Weka, Predictive Modeling July 2024 Analyzed a drug review dataset, applying pharmacological sentiment analysis, classification, and clustering to predict patient satisfaction and potential side effects. Evaluated algorithms (J48, Random Forest, Naive Bayes, SMO), with the J48 Decision Tree model identified as the most effective for predicting pharmacological patient satisfaction. ICD9CM to SNOMED CT Mapping Automation [Github Link] Python, Microsoft Excel February 2024 Developed an automated solution for mapping 8,000 ICD9CM diagnosis codes to SNOMED CT using UMLS MRCONSO, reducing manual effort in large-scale data conversions. Applied Python and UMLS Terminology Services to ensure high accuracy, showcasing innovation and adaptability in healthcare data standardization.Dental Clinic Webpage with Appointment Booking System [GitHub Link] Python, Flask, HTML, CSS December 2023 Designed and implemented a user-friendly Dental Clinic Webpage interface with an appointment booking system using Python, demonstrating creativity and innovation in design. Employed HTML, CSS, and Excel for an aesthetically pleasing and responsive frontend, and efficient data management within a virtual environment.Data-Driven Analysis of Hospital Readmission Ratios [Github Link] Tableau December 2023 Conducted in-depth analysis to compare the expected readmission ratios of Miami Valley Hospital for conditions including Acute Myocardial Infarction (AMI), Heart Failure (HF), Chronic Obstructive Pulmonary Disease (COPD), Pneumonia (PN), and Hip/Knee surgeries with both national and state averages. Utilized Tableau to analyze Centers for Medicare and Medicaid Services (CMS) readmission data, extracting valuable insights into readmission ratio patterns.RESEARCH PROJECT Collaborated on an ongoing retrospective study analyzing soft tissue calcifications in orthopantomograms across age groups in Hyderabad, contributing to data collection, analysis, and literature review. Key contributions resulted in significant insights in oral pathology, enhancing analytical skills, research methodology, and team collaboration.WORK EXPERIENCEHealth Administrator/Dental Surgeon Healing Smiles Dental Clinic April 2022  July 2023 Conducted over 200 pharmacological assessments during patient care, optimizing EHR systems to improve clinical data man- agement efficiency by 30%. Analyzed medication use patterns and adherence for 100+ patients, contributing to a 20% improvement in treatment personal- ization and patient adherence rates.Dental Intern Malla Reddy Institute of Dental Sciences April 2022  April 2023 Developed expertise across multiple dentistry specialties, showcasing clinical proficiency while upholding the highest standards of competence, care, and ethics. Leveraged PowerPoint for presentations, Excel for patient tracking, and an EHR system for efficient management and retrieval of patient information, ensuring compliance with industry standards and regulations.