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Click here or scroll down to respond to this candidateCandidate's Name DATA SCIENCE PROFESSIONALSilver Spring, MD 408.839.4642 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE Experienced Data Analyst with a robust background in Healthcare Quality Assurance and a strong foundation in AI and Machine Learning. Proficient in SQL, Python, and data visualization, I excel in ensuring data integrity and compliance with Medicaid, Medicare, and ACA systems. Demonstrated success in implementing QA methodologies, analyzing complex datasets, and developing visualizations for data-driven decisions. Recognized for attention to detail, problem-solving skills, and a collaborative approach. Seeking a Data Analyst or Data Scientist role to leverage my expertise in driving successful data initiatives and improving business outcomes.WORK EXPERIENCESOGETI KSMO Unit, SENIOR CONSULTANTDATA ANALYST, HUMANA, Louisville, KY Aug 2022 - Mar 2024 Introduced innovative reporting systems, reducing report generation time by 30% and minimizing manual errors. Identified critical data issues using SQL, ensuring pregnant women received deserved health benefits. Automated service cart approval process impacting 30-50k customers annually, while streamlining manual processes. Developed chronic disease algorithm using Python enabling faster benefit prioritization and improved decision-making. Conducted in-depth medical record data analysis by identifying trends and patterns to enhance patient care strategies. Collaborated with stakeholders to identify and create test data requirements for new Medicaid business functionalities Led the development of end-to-end data and analytics products, working collaboratively with stakeholders to ensure alignment with organizational goals and requirements LEAD IT TESTING SERVICES, BLUE CROSS BLUE SHIELD, Kansas City, MO Nov 2017 Aug 2022 Analyzed and interpreted requirements for various functionalities including claim processing, member addition, group information, subscriber enrollment, class/plan definition, and premium rate tables within FACETS application releases 5.4, 5.5, and 5.6. Developed comprehensive test plans, test cases, test documents, and technical specifications to ensure rigorous application analysis and adherence to quality assurance standards. Coordinated and prioritized testing activities across three scrum teams, optimizing efficiency and effectiveness in releases and defect identification using Azure DevOps Services (ADO). Conducted thorough testing of Facets Provider data modules, including claim processing, member enrollment, and eligibility verification. Implemented manual testing techniques to guarantee smooth releases and meticulously tracked defects through closure using ADO. Logged defects across functional, regression, cross-browser compatibility, and multi-browser testing for SIT and UAT teams. Conducted thorough testing of the HIPAA Gateway Application Interface, covering all inbound and outbound messages. Performed data-driven testing by assessing application responses for both positive and negative data sets. Utilized SQL queries to validate test data integrity from both front-end and back-end sources. Tested GuidingCare applications, specifically evaluating utilization and care management functionalities. Collaborated closely with cross-functional teams and stakeholders, ensuring alignment of testing efforts with project objectives and goals.PROJECT EXPERIENCES Twitter Sentiment Analysis for Airline Services : Analyzed sentiment in tweets to gauge customer satisfaction with airlines, developing a classification model using TF-IDF and Count vectorization with Scikit-learn and Matplotlib libraries, where the TF- IDF model demonstrated slightly better performance Image Classification using Convolutional Neural Network (CNN) : Utilized Convolutional Neural Network (CNN) for identifying digits in a handwritten dataset, employing skills in image processing, Computer Vision, and CNN, with libraries l ike tensorflow, keras, implementing data pre-processing, model building, and evaluation with visualization of predictions. Neural Networks for Churn Prediction : Developed a custom Artificial Neural Network (ANN) for churn prediction using a dataset with 14 features, optimizing parameters like architecture type, layers, neurons, regularization, learning rate, activation functions, loss function, and weight initialization with TensorFlow and keras. Construction Strength Prediction Improvement : The clustering analysis effectively identified customer segments based on spending patterns and interactions with the bank. Key strengths include thorough data preprocessing, optimal cluster selection, detailed exploratory data analysis, and insightful segmentation. Loan Campaign Target Prediction : Designed loan campaign using classification models to target potential customers. Identifying redundant and correlated variables. Used EDA, and model evaluation for optimal performance and actionable insights.EDUCATIONMASTER OF SCIENCE IN INFORMATION AND COMMUNICATION 2011-2013 INSTITUTE OF ENGINEERING PULCHOWK CAMPUS, NEPALPOST GRADUATION PROGRAM IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 2019-2020 UNIVERSITY OF TEXAS, AUSTINSKILLS/TOOLSTechnical: SQL, Python, Pandas, NumPy, Keras, TensorFlow, Scikit-learn, Power BI, AWS Certified Cloud Practitioner, AWS Solution Architect Associate, Azure DevOps Services (ADO) Testing and QA: FACETS, GuidingCare Application, Healthcare Systems Testing, HIPAA Compliance, Test Automation (Selenium, Appium, Cypress)Analytical: Data Cleaning, Feature Engineering, Predictive Analysis, Exploratory Data Analysis, Model Evaluation, Model Tuning Soft Skills: Project Management, Team Building, Attention to Detail, Time Management, Communication, Strategic Planning CERTIFICATE AWS Certified Cloud Practitioner AWS Solution Architect AssociateLANGUAGES English Nepali Hindi MaithiliREFERENCESAvailable upon request |
