Dr. SAMEER MOHAMMAD

Healthcare Data Analyst | Clinical Data Analyst

MS IN HEALTH INFORMATICS

ABOUT ME

Health Data Analyst with a PharmD and an MS in Health Informatics, 4+ years delivering EHR/DHIS2/REDCap analytics, automated ETL, and high-impact Power BI/Tableau dashboards. I combine clinical domain knowledge with hands-on Python/SQL and cloud experience to turn messy healthcare data into reliable, actionable insights that shorten reporting cycles and improve decision-making.

Open to healthtech, hospital analytics, and population health roles where I can scale reproducible pipelines and measurable clinical impact

I’ve led projects involving EMR development, health data pipelines, and predictive modeling, and I thrive in environments where I can apply both technical skills and healthcare knowledge to drive innovation and patient-centered care.

CERTIFICATIONS

Google Data Analytics Professional Certificate (Coursera | Google)

Completed the Google Data Analytics Professional Certificate (Coursera | Google), covering the full data analytics workflow from defining questions and metrics to cleaning/validating data, analyzing with SQL, spreadsheets, and R, and presenting insights through Tableau dashboards and data storytelling. Strengthened skills in data ethics, visualization, and stakeholder-ready reporting with a healthcare/health data focus

BLS • CPR • FIRST AID • BLOODBORNE PATHOGENS

Completed BLS Provider (CPR & AED) training aligned with the American Heart Association, along with First Aid Certification and Bloodborne Pathogens Training. Strengthened emergency response readiness, patient safety practices, and infection prevention skills for clinical healthcare settings

Data and Electronic Health Records

This course strengthened my understanding of Electronic Health Records (EHR), clinical documentation & data integrity, healthcare data management & security, and Health Informatics workflows.

MASTERS IN HEALTH INFORMATICS

Master of Science in Health Informatics
Indiana University – Luddy School of Informatics, Computing, and Engineering
Conferred: May 15, 2025 – Indianapolis, Indiana

I earned my Master’s in Health Informatics from Indiana University, specializing in healthcare data analytics, system integration, and informatics-driven decision support. This program equipped me with advanced technical skills in data management, machine learning, and health information systems, as well as interoperability standards such as FHIR and SNOMED.

Through research assistantships, capstone projects, and applied coursework, I gained hands-on experience with DHIS2, Power BI, SQL, Python, R, and cloud-based deployment, preparing me to contribute to data-driven solutions that improve public health outcomes

PROFESSIONAL EXPERIENCE

Health Data Analyst
Janaury 2025

Built an automated REDCap–DHIS2–Power BI integration pipeline for real-time public health data monitoring. Transformed REDCap survey data using Python and Excel; designed Data Dictionary and executed secure data imports.

Connected REDCap API to Power BI with M language and JSON; created live dashboards with structured ETL workflows. Improved data quality, interoperability, and scalability across systems using DHIS2-compliant JSON payloads

Professional Experience & Internships

Data Analyst | System Developer

Randolph County Caring Community Partnership (RCCCP)
May 2024 – May 2025
Developed an end-to-end DHIS2–Power BI decision support system integrated with machine learning models (Scikit-learn, TensorFlow) for forecasting and risk stratification. Configured Apache Tomcat, PostgreSQL, and PostGIS for backend deployment. Delivered dynamic dashboards with geospatial and time-series insights to support community health planning.

Research & Teaching Assistant

Indiana University, Indianapolis
August 2024 – May 2025
Guided students in Applied Statistical Methods for Biomedical Informatics. Delivered training on hypothesis testing, ANOVA, regression, clustering, and forecasting using R and Power BI. Led the DHIS2 intern team on data collection, module configuration, and metadata optimization for real-time analytics.

Data Analyst Intern

GTECHNOLOGIES PTY LTD
May 2024 – August 2024
Developed a full-stack AI-enabled EMR system using React, Node.js, and MySQL; deployed with Docker and Azure. Designed normalized databases in MySQL Workbench and implemented advanced SQL queries. Integrated system with Epic and Cerner EMRs, resolving client-server communication issues.

Graduate Research Data Analyst

IU BioHealth Informatics Research Center (BHIRC)
January 2024 – May 2024
Led EHR data workflow optimization and database normalization for public health research. Built structured MySQL databases and dashboards in Power BI. Cleaned and validated datasets using Python (pandas, NumPy) and Excel to support federal healthcare studies on Children's and Family Health.

Clinical Research Intern

ESIC Hospital, Hyderabad, India
June 2021 – July 2023

Collected and validated medication and clinical records for 20–25 patients daily; conducted chart audits and data validation; and resolved missing or inconsistent EMR documentation with clinicians and HIM teams.

Monitored 200+ ADR cases and produced routine clinical reports using Excel and SQL, improving reporting accuracy by 30% while following HIPAA/PHI handling practices.

PROJECTS

HOW DOES CLIMATE CHANGE AFFECT THE FOOD SECURITY INDEX OF DIFFERENT COUNTRIES

LUNG CANCER FACTORS AND PREDICTIVE MODEL

RESEARCH STUDY ON EFFECTIVENESS OF CURRENT REMOTE INSULIN DEVICESR

ESOPHAGEAL CANCER TREATMENT OUTCOMES

CAPSTONE

Capstone Presentation: DHIS2-Powered Public Health Dashboard

These photos capture key moments from my capstone presentation, where I showcased a real-time data integration and visualization system using DHIS2 and Power BI. The project aimed to support evidence-based decision-making in public health through a dynamic, interoperable dashboard.
I had the opportunity to present my work to faculty, fellow researchers, and public health professionals, engaging in meaningful discussions on the impact of digital health systems.
Special thanks to my mentors, advisors, and colleagues for their support throughout this journey

Dr. Sameer Mohammad,

MS Health Informatics

Gary Schwebach , Zeyana Hamid

Zeyana Hamid

Lecturer, Health Informatics

Gary Schwebach

Professor of Practice, Health Informatics

Gary Schwebach , Zeyana Hamid

Josette Jones

Emeritus Associate Professor, Health Informatics

Gopikrishnan Chandrasekharan

Lecturer, Health Informatics

Yan Zhuang

Assistant Professor, Health Informatics

PROJECTS

GROUP 8 DBMS FINAL .pptx

PROJECT 1

Title: DESIGN AND IMPLEMENTATION OF AN ADVANCED HEALTHCARE DATABASE SYSTEM: OPTIMIZING DATA STORAGE, MANAGEMENT, AND ANALYTICAL INSIGHTS FOR ESOPHAGEAL CANCER TREATMENT OUTCOMES

PROJECT 2

Title: HOW DOES CLIMATE CHANGE AFFECT THE FOOD SECURITY INDEX OF DIFFERENT COUNTRIES?

ECONOMIC GLOBAL IMPACT.pptx

PROJECT 1

I501 Group 10 Project Presentation

PROJECT 3

Title: Lung Cancer Factors and Predictive

As a data analyst, I worked on a groundbreaking lung cancer risk factor project. I analyzed patient data,

visualized correlations, and developed a predictive model. I collaborated on project planning,

methodology, and report drafting while ensuring timely milestones.

PROJECT 4

Title: Research Study on Effectiveness of Current Remote Insulin Devices

Project Manager

Overview: Led a comprehensive research study to evaluate the effectiveness and reliability of current remote insulin monitoring devices. The study aimed to provide evidence-based recommendations for improving diabetes management through advanced technology.

ppt project managemnet 2.pptx

TECHNICAL SKILLS

Programming Languages:

Python, SQL, R, HTML, CSS, Bootstrap,

Data Analysis Tools:

Excel, Tableau, Power BI, NumPy, SciPy, Pandas, MySQL, Jupyter, RStudio, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, Power Query, ggplot

Applied for exploratory data analysis (EDA), machine learning, and health data processing.

Experience handling clinical and EMR datasets in CSV, JSON, and relational formats.

Database Management:

MySQL, PostgreSQL, PostGIS, Oracle Database, DBeaver, phpMyAdmin, RedCap

Statistical Methods:

Hypothesis Testing, Regression Analysis, ANOVA, Chi-square, Sampling Distributions, Logistic Regression, Classification, Clustering, Time Series Forecasting, EDA, Cross Validation, and Descriptive Statistics. Applied across predictive modeling, healthcare analytics, and clinical decision support systems.

Machine Learning:

Linear & Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, Decision Trees, Lasso, and Ridge Regression.

Data Visualization:

Tableau, Power BI, DHIS2, Matplotlib, Seaborn, ggplot, Geospatial Dashboards, Time-Series Forecasts,

Healthcare Systems & Standards:

DHIS2, OpenEMR, OHDSI ATLAS, SNOMED CT, ICD-10, RxNorm, EHR, HIE. Hands-on experience configuring DHIS2 metadata (trackedEntityTypes, events), cohort design in OHDSI, and health ontology usage for standardization.

Version Control:

Git, GitHub.

Managed academic and professional projects with structured branching and collaborative workflows.

Clinical Experience & Tools:

Background as a licensed clinical pharmacist with experience in ADR documentation, diagnostic support, and interdisciplinary workflows.

Familiar with HIPAA and HITECH compliance in data management and application development.

EDUCATION