Machine Learning Data Analysis

Ranjana Roka

Los Angeles, CA, ***** 301-***-**** *************@*****.*** https://www.linkedin.com/in/rroka/ https://github.com/rokar12 Data professional with a strong background in healthcare and public health, leveraging expertise in machine learning, data analysis, and predictive modeling. Proficient in Python, SQL, and Tableau. Experienced in electronic health records (EHR) systems and clinical data analysis as a registered nurse, generating data-driven insights for health education, disease management, and patient care. Holds an MPH in Health Education and a postgraduate certification in Applied Generative AI, further strengthening the ability to drive innovation at the intersection of AI and healthcare. Technical Skills

PROGRAMMING LANGUAUGES: Python, SQL, SPSS, Version Control (Git/GitHub), Anaconda/Jupyter STATISTICAL ANALYSIS: Descriptive and Inferential Statistics, Regression Modeling, Hypothesis Testing MACHINE LEARNING: Classification, Regression, Clustering, Dimensionality Reduction, Preprocessing GENERATIVE AI: Large language models (LLMs), Natural language processing (NLP) Experience

Data Science Fellow September 2023 – November 2024 Springboard Remote

Project: Predicting Hospital Length of Stay for Schizophrenic and Psychotic Disorder Patients Using Machine Learning

● Developed a predictive model to estimate hospital length of stay (LOS) for schizophrenia and psychotic disorder patients using machine learning techniques.

● Processed and analyzed a large healthcare dataset (SPARCS) with 2.3M records, performing data wrangling, exploratory data analysis, and feature selection.

● Evaluated four machine learning models (Linear Regression, Decision Tree, Random Forest, and Gradient Boosting) with Random Forest Regressor achieving the best performance (R = 0.76, RMSE = 15.16).

● Optimized model accuracy through hyperparameter tuning, enhancing predictive performance to support proactive resource management and personalized care planning in psychiatric hospitals. Project: Predictive Modeling for Stroke Risk Assessment Using Machine Learning

● Developed a machine learning model to assess stroke risk using a Kaggle healthcare dataset (5,110 records), incorporating demographic, medical, and lifestyle features.

● Evaluated Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting, with Gradient Boosting achieving 87.54% accuracy after addressing class imbalance with SMOTE.

● Conducted data wrangling, feature engineering, and exploratory data analysis to identify key predictors such as age, hypertension, and heart disease.

● Improved stroke risk detection by balancing the dataset with SMOTE, leading to higher recall and better prediction of high-risk individuals.

● Demonstrated the potential of machine learning for early stroke detection and healthcare resource optimization, supporting timely interventions and improved patient outcomes. Purdue University Generative AI Capstone

Project: ChatGPT-Based Storytelling – Interactive Fantasy Adventure

● Designed and developed an interactive storytelling experience using ChatGPT, enabling users to shape a dynamic fantasy narrative through AI-driven responses.

● Created "The Lost Kingdom of Eldoria", designing immersive characters, decision-driven story paths, and multiple possible endings.

● Leveraged ChatGPT’s generative capabilities to expand the plot, generate character responses, and maintain story coherence.

● Demonstrated how AI can enhance creative storytelling, showcasing the potential of generative AI in interactive fiction and user engagement.

Registered Nurse November 2018 – August 2020

Encompass Health and Rehabilitation Center Aldie, VA

● Analyzed and interpreted patient data from various sources (vitals, lab tests, progress notes) to identify trends, evaluate care effectiveness, and develop alternative interventions, demonstrating strong analytical and problem-solving skills

● Managed and maintained accurate electronic health records, including physician orders, medication charts, and daily condition reports, showcasing attention to detail and data integrity

● Implemented data-based patient education programs on disease management, medication adherence, and self- monitoring devices, resulting in improved patient engagement and recovery rates Registered Nurse September 2018 – October 2018

HCR ManorCare Fairfax, VA

Instructor August 2013 – May 2014

Western Kentucky University Bowling Green, KY

● Instructed undergraduate students on CPR administration and AED usage as part of the Safety 101 course.

● Assessed and provided feedback on student performance to enhance their skills and proficiency in emergency response.

Graduate Assistant August 2012 – May 2013

Western Kentucky University Bowling Green, KY

● Contributed to data gathering and analysis for National Institute for Occupational Safety and Health (NIOSH) grant proposal, 2012, by conducting a comprehensive literature review to support data-driven decision-making.

● Managed and analyzed undergraduate student performance data, assessing trends and grading assignments. Student Lab Consultant January 2012 – May 2012

Western Kentucky University Bowling Green, KY

● Assisted students in resolving common computer lab issues by analyzing recurring problems and troubleshooting non-technical errors, improving overall efficiency. Nursing/Clinical Instructor March 2010-June 2011 B.P. Memorial Health Institute and Research Centre Nepal

● Delivered lectures on "Community Health Nursing" while analyzing student performance data to track progress and provide targeted feedback for skill enhancement.

● Guided students in conducting data-driven community awareness campaigns, evaluating impact through measurable outcomes and providing actionable feedback for improvement. Education/Certifications

Post Graduate Program, Applied Generative AI Specialization, Purdue University, Nov 2024 Data Science Certification, Springboard, Nov 2024

Master of Public Health (MPH), Western Kentucky University Bachelor of Science in Nursing (BSN), Purbanchal University Registered Nurse California# 95078605

Publication

Roka, R., Michimi, A., and Macy, G. (2015). Associations between Hypertension and Body Mass Index and Waist Circumference in U.S. Adults: A comparative Analysis by Gender. High Blood Pressure and Cardiovascular Prevention. DOI 10.1007/s40292-015-0106-3

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