🔬 Turning Healthcare Data into Actionable Insights • 📊 Building Analytics Systems • 🤖 Advancing Clinical Decision Intelligence
I am a Healthcare Data Analyst with 4+ years of experience combining clinical knowledge and healthcare analytics. With a PharmD background and a Master’s in Health Informatics from Indiana University Indianapolis, I specialize in transforming healthcare data into actionable insights.
My work focuses on healthcare analytics, ETL pipelines, clinical reporting systems, and machine learning models used for population health monitoring and healthcare decision support.
I build solutions across the healthcare data lifecycle from data ingestion and cleaning to dashboard reporting and predictive modeling using tools such as SQL, Python, Power BI, and healthcare data platforms like DHIS2 and REDCap.
• Healthcare Data Analytics
• Clinical Informatics & EHR Systems
• Predictive Modeling & Machine Learning
• Public Health Data Systems
• Healthcare Dashboarding & Reporting
| Role | Organization | Key Impact |
|---|---|---|
| Healthcare Data Analyst | Molina Healthcare | Analyzed multi-source healthcare datasets, produced state-mandated reports, and improved KPI monitoring workflows |
| Health Data Analyst | Guardian's Embrace | Built dashboards using Power BI/Tableau and analyzed healthcare claims & utilization datasets |
| Data Analyst | Indiana University | Built REDCap → Power BI reporting pipelines and Python ETL workflows for DHIS2 |
| Teaching Assistant | Indiana University | Guided students in statistical analysis, R programming, and biomedical informatics |
| Data Analyst / System Developer Intern | Randolph County Caring Community Partnership | Implemented DHIS2 public health reporting system and built Power BI dashboards |
| Data Science Intern | GTechnologies | Built an AI-enabled EMR prototype using React, Node.js, and MySQL |
| Clinical Data Analyst | ESIC Hospital | Conducted clinical data audits, documentation validation, and research data reporting |
| Degree | Institution | Duration | Grade |
|---|---|---|---|
| Master of Science (MS), Health Informatics | Indiana University Indianapolis | Aug 2023 – May 2025 | 3.9 |
| Doctor of Pharmacy (PharmD) | MLR Institute of Pharmacy | Jun 2017 – Jun 2023 | 3.8 |
| Intermediate (BiPC) | Sri Chaitanya College of Education | May 2015 – May 2017 | 97.3% |
Health Informatics • Healthcare Analytics • Clinical Decision Support Systems • Exploratory Data Analysis • Regression Analysis • Logistic Regression • Random Forest • ANOVA • Chi-Square • Cluster Analysis • Statistical Modeling • Pandas • NumPy • ggplot • Time Series Analysis • Interoperability • API Development • GitHub Version Control
| Credential | Institution |
|---|---|
| Certified Health Data Analyst (CHDA) | AHIMA |
| Biomedical Researcher Certification | CITI Program |
| Data and Electronic Health Records | Johns Hopkins Medicine |
| Google Data Analytics Professional Certificate | Google (Coursera) |
| CPR / AED / First Aid / Bloodborne Pathogens | American Heart Association |
Associated with: Caring Community Partnership
Duration: May 2024 – May 2025
Built an end-to-end public health decision support dashboard integrating DHIS2 and Power BI for community health reporting.
Key Contributions:
• Configured analytics stack using Apache Tomcat, PostgreSQL, PostGIS, and DHIS2
• Developed automated Python ETL workflows for CSV and JSON datasets
• Created interactive Power BI dashboards with geospatial and trend reporting
• Implemented data validation and quality checks for public health datasets
• Supported stakeholder testing and adoption
Technologies:
Python • SQL • DHIS2 • Power BI
Duration: Aug 2024 – Dec 2024
Designed and implemented a clinical analytics database system for managing esophageal cancer clinical data.
Key Contributions:
• Designed relational database schema normalized to 3NF using MySQL
• Built ER diagrams and SQL schema in MySQL Workbench
• Performed data preprocessing and exploratory analysis using Python
• Implemented Logistic Regression and Random Forest models for outcome prediction
• Created visualizations analyzing survival trends and treatment effectiveness
Technologies:
Python • SQL • Machine Learning • MySQL
Associated with: GTechnologies Pty Ltd
Duration: May 2024 – Aug 2024
Developed a full-stack EMR system to improve patient data management workflows.
Key Contributions:
• Built application using React, Node.js, and MySQL
• Implemented SQL-based patient record management
• Developed dynamic patient interfaces and server-client workflows
• Ensured interoperability with EMR systems such as Epic and Cerner
• Deployed using Docker and Azure
Technologies:
React • Node.js • MySQL • Docker • Azure
Duration: Jan 2024 – May 2024
Analyzed global food security trends using the Global Food Security Index (GFSI) dataset across 113 countries.
Key Contributions:
• Performed regression analysis, ANOVA, and clustering in R
• Identified drivers affecting food security indicators
• Built geospatial visualizations and analytical dashboards
• Generated policy insights for climate-related food security risks
Technologies:
R • Statistical Modeling • Regression Analysis • Cluster Analysis
Duration: Aug 2023 – Jan 2024
Evaluated multiple remote insulin monitoring devices used in diabetes management.
Key Contributions:
• Designed device testing protocols for accuracy and usability
• Conducted cost-benefit and feature comparison analysis
• Interpreted clinical observations and data
• Delivered evidence-based recommendations for healthcare adoption
Technologies:
Healthcare Analytics • Clinical Evaluation • Data Analysis
Duration: Aug 2023 – Jan 2024
Developed predictive models to assess lung cancer risk using clinical datasets.
Key Contributions:
• Performed data cleaning and exploratory analysis
• Implemented machine learning models including kNN and tree-based methods
• Created correlation heatmaps and feature visualizations
• Generated insights supporting early detection strategies
Technologies:
Python • Machine Learning • Exploratory Data Analysis
📧 Email: sameermohd1447@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/mohammad-sameer-a39127236
🌐 Portfolio: https://sites.google.com/view/sameer-portfolio/home
💻 GitHub: https://github.com/Mdsameer9656
⭐ Always interested in collaborating on healthcare data analytics, clinical informatics, machine learning, and public health informatics projects.