Sangameshwar Ryakala
Health Data Scientist & Analytics Professional
Transforming healthcare through data-driven insights. Specialized in health data analytics, machine learning applications in healthcare, and evidence-based research to improve patient outcomes and healthcare delivery systems.
About Me
Passionate health data scientist bridging the gap between healthcare and technology through innovative analytics solutions
Transforming Healthcare Through Data Science
Currently pursuing my Master's in Health Data Science at Saint Louis University, I bring a unique blend of pharmaceutical knowledge and data analytics expertise to healthcare challenges. My journey began with a Bachelor of Pharmacy, providing me with deep domain knowledge of healthcare systems and patient care.
With hands-on experience as a Health Data Analyst, I've successfully managed experimental datasets, implemented statistical workflows, and created visualizations that uncover critical insights about natural extracts and mental health effects. My work has consistently delivered measurable improvements, including a 20% reduction in analysis time through optimized Python workflows.
I'm passionate about leveraging AI and machine learning to solve real-world healthcare problems, from predicting hospital readmissions to understanding the impact of lifestyle factors on mental health. My goal is to make healthcare more efficient, accessible, and effective through data-driven insights.
Healthcare Analytics
Specialized in analyzing healthcare data to improve patient outcomes and operational efficiency
Machine Learning
Applied ML models including logistic regression and random forest for predictive healthcare analytics
Data Visualization
Expert in creating compelling visualizations using Tableau, Power BI, and Python libraries
Data Management
Proficient in SQL, FHIR/HL7 integration, and EHR data processing for healthcare systems
Professional Experience
A journey through healthcare analytics and data science roles where I've applied expertise to solve real-world health challenges
Health Data Analyst
Healthcare Research Organization
Hyderabad, India
Managed structured experimental datasets and implemented statistical workflows to analyze drug extract data, focusing on natural extracts and mental health effects.
Key Achievements:
- Managed structured experimental datasets using SQL and Excel, ensuring data integrity and research compliance
- Designed and implemented statistical workflows in Python (pandas, SciPy) reducing analysis time by 20%
- Created advanced visualizations in Tableau and Matplotlib to uncover trends between natural extracts and mental-health effects
AI-Powered Data Research Intern
Excelerate (Global Virtual)
Remote
Conducted comprehensive research on AI applications in healthcare education and patient engagement, developing strategic frameworks for digital health programs.
Key Achievements:
- Conducted comparative analysis of AI applications in healthcare education and patient engagement
- Synthesized 15+ academic and industry sources into a strategic AI adoption framework
- Designed research-backed roadmap for AI adoption in health-education programs with measurable outcomes
Data Visualization Associate Intern
Excelerate
Remote
Architected interactive health-data dashboards and presented data-driven insights to stakeholders, influencing program strategy and resource allocation decisions.
Key Achievements:
- Architected interactive health-data dashboards integrating PostgreSQL datasets with Looker Studio
- Enabled real-time monitoring of key quality-of-care indicators, cutting reporting cycles nearly in half
- Presented data-driven insights to stakeholders weekly, increasing efficiency in population-health initiatives
Health Content Writer Intern
Healthcare Content Agency
Hyderabad, India
Authored research-based medical and health articles optimized for SEO and scientific accuracy to increase health literacy among online audiences.
Key Achievements:
- Authored research-based medical and health articles optimized for SEO and scientific accuracy
- Wrote on public-health and wellness topics to increase health literacy among online audiences
- Developed content strategy that improved audience engagement and health education outcomes
Technical Skills
Comprehensive expertise in health data science, analytics, and modern technology stack for healthcare applications
Programming & Statistical Tools
pandas, SciPy, NumPy
MySQL, PostgreSQL
Statistical Analysis
Statistical Computing
Data Visualization
Advanced Dashboards
Business Intelligence
Python Visualization
Statistical Plots
Machine Learning & Analytics
Classification Models
Ensemble Methods
Model Interpretation
Time-to-Event
Unsupervised Learning
Cloud & Development
Cloud Computing
Microsoft Cloud
Version Control
GitHub Actions
Healthcare Data Management
Healthcare Standards
Electronic Health Records
Data Quality
Data Warehousing
Development Environment
IDE
R Development
Data Science
Package Management
Featured Projects
Showcase of healthcare data science projects demonstrating expertise in machine learning, analytics, and health informatics
Impact of Sleep Deprivation and Screen Time on Adolescent Mental Health
Performed comprehensive EDA and ML modeling using logistic regression, random forest, and clustering on Kaggle datasets to analyze the relationship between sleep patterns, screen time, and mental health outcomes in adolescents.
Key Achievements:
- Used SHAP analysis for feature importance interpretation
- Developed policy recommendations for mental health
- Identified key lifestyle factors affecting adolescent wellbeing
RemedyGenie
Innovative healthcare solution leveraging advanced technology to provide intelligent remedy recommendations and health guidance, combining data analytics with user-friendly interface for improved health outcomes.
Key Achievements:
- Developed intelligent remedy recommendation system
- Created user-friendly healthcare guidance interface
- Integrated advanced analytics for health insights
AI-driven Dataset Generator with Google Gemini API
Developed an innovative AI-powered dataset generation tool utilizing Google Gemini API to create synthetic healthcare datasets for research and analysis, enabling data scientists to work with realistic data while maintaining privacy.
Key Achievements:
- Integrated Google Gemini API for intelligent data generation
- Created synthetic datasets maintaining statistical properties
- Enabled privacy-preserving research methodologies
Predicting Hospital Readmissions Using Medicare Data
Built logistic regression and random forest models on 30K records to predict 30-day readmission risk, achieving AUC of 0.89 and identifying key comorbidities for intervention strategies.
Key Achievements:
- Achieved AUC score of 0.89 for readmission prediction
- Analyzed 30,000+ patient records
- Identified interventions reducing readmissions by 12%
Interactive Health Data Dashboards
Architected interactive health-data dashboards integrating PostgreSQL datasets with Looker Studio, enabling real-time monitoring of quality-of-care indicators and cutting reporting cycles in half.
Key Achievements:
- Reduced reporting cycles by 50%
- Enabled real-time quality-of-care monitoring
- Integrated multiple data sources seamlessly
Education & Certifications
Academic foundation in healthcare and data science, complemented by professional certifications and continuous learning
Academic Background
Master of Health Data Science
Saint Louis University
Saint Louis, Missouri, USA
Advanced graduate program focusing on the intersection of healthcare and data science, with emphasis on machine learning applications in healthcare, health informatics, and evidence-based research methodologies.
Key Coursework:
- Health Data Analytics
- Machine Learning in Healthcare
- Health Informatics
- Biostatistics
- Healthcare Database Management
- Clinical Research Methods
Achievements:
- Current Graduate Student
- Focus on Healthcare AI Applications
- Research in Predictive Healthcare Analytics
Bachelor of Pharmacy
MLR Institute of Pharmacy
Hyderabad, India
Comprehensive pharmaceutical education covering drug development, pharmacology, and healthcare systems. This foundation provided essential domain knowledge for healthcare data analysis and research.
Key Coursework:
- Pharmacology
- Pharmaceutical Chemistry
- Clinical Pharmacy
- Drug Development
- Healthcare Systems
- Biostatistics
Achievements:
- Strong Foundation in Healthcare Domain
- Understanding of Drug Development Process
- Clinical Research Knowledge
Professional Certifications
AWS Certified Cloud Practitioner
Amazon Web Services
2024
Applied Research & Analytics Projects
Excelerate
2024
Data Visualization Associate
Excelerate
2024
AI-Powered Data Research
Excelerate
2024
Get In Touch
Let's discuss how we can collaborate on healthcare data science projects or explore opportunities in health analytics