RINSY R
Data Analyst| Python Developer| SAS Programmer|
Navi Mumbai
Summary
Dedicated and passionate health data analyst with a strong technical and analytical background. Expertise in utilizing data to drive decision-making and innovation, with a keen interest in uncovering insights for improved healthcare outcomes. Thrives in collaborative team environments and has a natural curiosity for learning, always seeking to overcome challenges. Skills in data analysis, statistical modeling, and data visualization, with a focus on transforming complex datasets into actionable strategies.
Overview
5
5
years of professional experience
6
6
years of post-secondary education
8
8
Certifications
Work History
Research Assistant
The George Institute for Global Health
08.2022 - 07.2024
- Contributed to evidence and gap mapping in infodemic management, identifying key areas for research and intervention
- Independently conducted comprehensive searches in electronic and grey literature databases, ensuring thorough data collection
- Screened and evaluated titles, abstracts, and full-text articles using Microsoft Excel and Eppi Reviewer, maintaining high standards of accuracy
- Extracted and coded data from a wide range of electronic and grey literature sources, facilitating detailed analysis
- Utilized SAS programming for data analysis, statistical modeling, and reporting, enhancing the accuracy and efficiency of research findings in healthcare and infodemic management.
- Developed data visualizations using Tableau and Power BI to effectively communicate findings and insights to stakeholders
- Provided subject matter expertise in machine learning and artificial intelligence, supporting advanced analytical processes and enhancing data-driven insights
- Organized research materials, maintaining a well-ordered workspace conducive to productivity.
- Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
- Conducted literature reviews to support hypothesis development and identify gaps in existing knowledge.
- Monitored project timelines, ensuring timely completion of tasks while maintaining high-quality output.
- Maintained open lines of communication with project leads and team members for effective collaboration on common goals.
Health Research Intern
The George Institute for Global Health
01.2022 - 07.2022
- Proactively participating in one-on-one and team meetings
- Assisting in developing and pilot testing data extraction forms
- Extracting data from website results and journal articles
- Assisted in data analysis and preparation of the visual summary of results using Tableau
Project Intern
Atees Infomedia Pvt.Ltd
10.2019 - 03.2020
- Machine learning and python project
- Developed a prototype for the hospital information system
- Developed a predictive model for the Arthritis disease
Education
B. Tech(Hons) - Computer Science and Engineering
Jyothi Engineering College
Thrissur, Kerala 01.2016 - 01.2020
Master of Science - Health Informatics (Health care IT management)
Manipal College of Health Professions
Manipal, India 04.2020 - 01.2022
Skills
- Data Analysis: SQL, SAS Programming, Python (Pandas, NumPy, Matplotlib)
- Data Visualization: Tableau, Power BI, Microsoft Excel
- Machine Learning: Model development, performance evaluation (Logistic Regression, Decision Trees, Random Forest)
- Tools: Jupyter Notebook, Eppi Reviewer, Vertex AI Studio, Generative AI, Django
- Statistical Analysis: EZR, Statsmodels
- Other: Critical Thinking, Problem Solving, Effective Communication
Projects
Predictive Model for Breast Lesions Detection (https://doi.org/10.12688/f1000research.161073.2)
- Built classification models using Logistic Regression, Support Vector Classifier, Decision Trees, and Random Forest.
- Evaluated using metrics like precision, recall, accuracy, and F1 score.
Blood Pressure Variability and Cardiovascular Risk – Research Project
- Contributed to a published study in Hypertension Journal (DOI: 10.1161/HYPERTENSIONAHA.122.20425).
- Conducted data extraction, cleaning, and advanced statistical analysis.
- Supported machine learning-based approaches for identifying cardiovascular risk factors.
Hospital Management Software and Doctor Assistance (https://www.ijtsrd.com/papers/ijtsrd30594.pdf)
- Developed backend database solutions and analytics dashboards using Django and Python.
Certification
SAS Programming Certification
Accomplishments
- Published research paper in International Journal of Trends and Development
- Presented research at Kerala Start-Up Mission Youth Innovation Program
- Participated in national conferences and workshops on healthcare IT and data analytics
Timeline
Research Assistant
The George Institute for Global Health
08.2022 - 07.2024
Health Research Intern
The George Institute for Global Health
01.2022 - 07.2022
Master of Science - Health Informatics (Health care IT management)
Manipal College of Health Professions
04.2020 - 01.2022
Project Intern
Atees Infomedia Pvt.Ltd
10.2019 - 03.2020
B. Tech(Hons) - Computer Science and Engineering
Jyothi Engineering College
01.2016 - 01.2020
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