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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEOpen to Relocation.SUMMARYExperienced professional with a masters in health informatics and a bachelors in dental surgery. Skilled in research, data analysis, and data management, with expertise in dashboard creation using Power BI. Proficient in Python, R, SQL, and data science frameworks. Competent in data visualization, statistical modeling, and predictive analytics. Enthusiastic about utilizing data insights to drive innovation and improve business outcomes, seeking opportunities to make a meaningful impact in the field. EDUCATIONIndiana University - Purdue University Indianapolis, IN Master of Science in Health Informatics August 2022 - May 2024, GPA: 3.5 Dr NTR University of Health Sciences Andhra Pradesh, India Bachelor of Dental Surgery Sep 2016 - Oct 2020, GPA: 3.7 WORK EXPERIENCEResearch Data AnalystIndiana University Jan 2023 - May 2024 Spearhead the collection, organization, and management of health informatics data for federal initiatives focusing on Senior Health, Long-term Care, and Occupational Health. Proficiently utilizes Excel spreadsheets for meticulous data structuring, ensuring accuracy and accessibility. Employing advanced Python for in-depth data analysis, extracting crucial insights and trends. Crafting dynamic Power BI dashboards to visually represent data, assisting stakeholders in comprehending complex information and catalyzing strategic actions for federal health initiatives.Data Science InternG technologies pty Ltd, Australia, Remote May 2023 - August 2023 Applied Python programming to conduct rigorous data cleaning, encompassing tasks such as handling missing values, removing duplicates, and standardizing data formats. Leveraged Pandas and NumPy libraries for efficient data manipulation and preprocessing. Implemented statistical methods and machine learning algorithms, including scikit-learn and TensorFlow, to analyze data and extract valuable insights. Contributed to enhancing decision-making processes and developing impactful solutions through meticulous data analysis.Clinical Data Analyst and Dental InternNarayana Dental college and Hospital November 2020 - July 2022 Applied advanced data analytics tools, such as Python, SQL to interpret and translate complex clinical data into actionable insights, fostering a comprehensive understanding of patient care dynamics. Integrated data analytics into dental practice, utilizing tools to optimize treatment planning, patient consultations, and administrative tasks for more effective and personalized care strategies. TECHNICAL SKILLSProgramming Languages: Python, R, SQLMarkup Languages: XML, HL7, HTMLFrameworks/Libraries: TensorFlow, PyTorch, NumPy, Pandas, Scikit-Learn, SciPy, OpenCV, ggplot2, Matplotlib, Seaborn, Plotly, Flask Privacy/Payment laws: HIPAAData Standards: SNOMED, ICD, LOINC, CPT, RxNormTools: Jupyter, R-studio, Oxygen XML Editor, Microsoft Office tools, phpMyAdmin, MySQL Workbench, Tableau, Power BI, REDCap, Cerner, OpenEMR, Qualtrics, SharePoint.Data Base Management: MySQLPROJECTS Analyzing 10 Years of Diabetes Care in US Hospitals: A Healthcare Data Analytics Project, Python, SQL, Power BI, This Project explored patient outcomes, treatment effectiveness, and factors influencing diabetes management. By identifying trends in medication usage and patient demographics, we aimed to enhance diabetic care strategies and optimize hospital operations. Brain Stroke Dataset Analysis, R, developed stroke risk prediction model achieving 95 percent accuracy. Identified key risk factors such as age and hypertension by Data Visualization and providing actionable insights for stroke prevention. Demonstrated proficiency in healthcare analytics and statistical modeling. Impact of COVID-19 on USA Air Pollution and Food Insecurity, Python, SQL, Tableau, Leveraged SQL, and Python to conduct in-depth data analysis, alongside Tableau for interactive data visualization, scrutinizing the effects of COVID-19 on air pollution and food insecurity across the USA. Clinician to Lab: EHR-Generated Lab Worklist, XML, introduced a system to generate lab worklists from Electronic Health Record (EHR) orders, utilizing XML technology, mapped identified sections to relevant standards and terminologies like SNOMED-CT, ICD-10, and LOINC codes. Constructing Case Study Data for an EHR, MS excel, OpenEMR, Enhanced the content of a learning Electronic Health Record (EHR) system by integrating case studies. Used Microsoft Excel and OpenEMR to enter clinical data and conduct patient case studies. |
