Healthcare Informatics Data Scientist and Analyst

NADEEM ABDUL

Fairfax, VA ***** +1-703-***-**** ****************@*****.*** linkedin.com/in/nadeem-abdul1430 Healthcare informatics professional with 3+ years of experience combining clinical expertise and data analytics to improve patient outcomes and operational efficiency. Skilled in Python, SQL, machine learning, and healthcare data systems with proven ability to deliver actionable insights that drive revenue growth and enhance care quality.

EDUCATION

Master of Science, Health Informatics GPA: 3.93/4.0 May 2025 George Mason University, College of Public Health, Fairfax, VA Bachelor of Dental Surgery GPA: 9.2/10 Graduated 2019 Gitam Dental College and Hospital, Visakhapatnam, India TECHNICAL SKILLS

Programming & Data Analysis: Python (Pandas, NumPy), R, SAS, Stata, MATLAB Databases & Querying: SQL (T-SQL, MySQL, PostgreSQL, PL/SQL), Azure SQL, SQL Server, Big Query, ETL pipelines, data warehousing, performance tuning Data Visualization & BI: Tableau, Power BI, Looker, QlikView, SSRS, Excel (pivot tables, advanced formulas), Matplotlib, Seaborn, Plotly

Statistical Modeling & Machine Learning: Regression (linear, logistic), classification (SVM, Random Forest, XGBoost), clustering, time-series forecasting, predictive modeling AI & NLP: Text preprocessing, sentiment analysis, transformer APIs (OpenAI), chatbot development Healthcare Informatics & Standards: EMR/EHR systems, interoperability (HL7, FHIR, DICOM), clinical terminologies (SNOMED CT, UMLS, LOINC, ICD-10)

Health Information Management & Compliance: Medical record auditing, coding & billing workflows, HIPAA compliance, regulatory reporting, data governance

Financial & Contract Analytics: Revenue cycle optimization, claims modeling, rate-structure analysis, payer- contract performance monitoring

Project & Collaboration: Agile/Scrum, Git/GitHub, JIRA, stakeholder communication, professional presentations

ACADEMIC PROJECTS

Data-Driven Strategies for Revenue Optimization and Telehealth Implementation

Jan 2025 – May 2025

• Analyzed 4 years of clinic data; identified 47% of revenue delayed >91 days

• Developed predictive model to forecast revenue and proposed AI chatbot reminders to reduce no-show rates by 30%

• Designed digital strategies to improve patient engagement and financial outcomes Diabetes Readmission Prediction – Healthcare ML Project Jan 2025 – Feb 2025

• Developed XGBoost model (78% AUC) to predict 30-day hospital readmissions using 100K+ patient records; engineered clinical features and applied SHAP analysis for interpretability

• Identified key risk factors (comorbidities, medication changes) with potential to reduce avoidable readmission by 18-25% GitHub: github.com/nabdul2/Diabetes-Readmission-Prediction AI Mental Health Chatbot – COMMON AI Aug 2024 – Dec 2024

• Built chatbot using Python and NLP; achieved 90% classification accuracy based on DSM-5 criteria

• Integrated sentiment analysis to flag critical responses and reduce triage time by 60% Analysis of Missing Data on Antidepressant Use Aug 2024 – Dec 2024

• Applied logistic regression and imputation on All of Us data to improve antidepressant treatment prediction by 35%

Feature-Based Classification of Cardiomegaly and Pleural Effusion Aug 2024 – Dec 2024

• Achieved 87% diagnostic accuracy using MATLAB and machine learning on chest X-rays Tableau Healthcare Dashboard Oct 2023 – Dec 2023

• Built visual dashboards for 100,000+ rows of hospital data; reduced report generation time by 50% Python EV Market Trend Analysis Nov 2023 – Dec 2023

• Analyzed global EV sales using Pandas and Seaborn, revealing 25% year-over-year growth trends PROFESSIONAL EXPERIENCE

Data Analyst Tazewell Orthopedic & Arthritis Clinic Jan 2025 – Jun 2025

• Analyzed revenue cycle data to identify payment delays and underperforming service lines

• Delivered insights that improved reimbursement efficiency and supported 15% revenue increase through better patient-provider alignment

Teaching Assistant George Mason University Jan 2025 – May 2025

• Assisted in Health Information Systems and Health Data Mining courses

• Led review sessions and provided academic support to graduate students General Duty Medical Officer State Government, Visakhapatnam, India Aug 2020 – Oct 2021

• Deployed EMR systems, reducing manual errors by 45% and increasing protocol compliance

• Analyzed COVID-19 data to improve emergency response time by 20% Software Engineer Prodatix Info Solutions PVT LTD Oct 2019 – Mar 2023

• Worked on data-driven applications using Python and machine learning

• Built dashboards and tools using Tableau and NLP for operational efficiency

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