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RITHIKA REDDY M Data AnalystRaleigh, NC PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEPROFESSIONAL SUMMARYDedicated and analytical Data Analyst with over 4 years of experience in interpreting and analyzing complex data sets to drive business decisions and optimize operational efficiencies. Proficient in statistical analysis, data visualization, and database management, with a proven track record of delivering actionable insights and implementing data-driven strategies. Skilled in Python, SQL, and data visualization tools such as Tableau and Power BI. Strong communication and collaboration abilities, adept at translating technical findings into understandable insights for stakeholders at all levels. Committed to continuous learning and staying at the forefront of emerging industry trends. Eagerly seeking a full-time opportunity to leverage my expertise and make impactful contributions to innovative data management projects.TECHNICAL SKILLSProgramming Languages: Python, R programming, SAS EM, Machine Learning Algorithms.Frameworks & APIs: Agile/Scrum Framework, Pandas, NumPy, HDFS, MapReduce, TensorFlow.Database: MS SQL Server, Oracle, MySQL, MongoDB, Cassandra.Operating Systems: Windows, Mac, UNIX.Version Control Tools: GIT, GitHub, GitLab.BI Tools: Tableau, and Power BI.PROFESSIONAL EXPERIENCEData Analyst CIGNA HealthCare May 2023  PresentAnalyzed electronic health records (EHR) data in real-time to identify trends, patterns, and anomalies, resulting in immediate interventions that led to a 10% decrease in patient readmission rates and 15% improvement in operational efficiency.Developed predictive models utilizing Python and R to forecast patient admission rates, facilitating proactive resource allocation and capacity planning, resulting in 20% reduction in staffing costs.Utilized Tableau and Power BI to create reports and presentations for key stakeholders.Authored detailed technical documentation to ensure the clarity of processes, solutions, and troubleshooting steps, contributing to enhanced team efficiency and knowledge transfer.Conducted ad-hoc analyses in real-time to support strategic initiatives, such as identifying opportunities for cost reduction and revenue optimization.Collaborated with cross-functional teams to design and implement data-driven solutions for population health management and disease surveillance.Data Analyst Genpact  India July 2020  July 2022Optimized ETL workflows and performance by fine-tuning queries, optimizing data loading processes, and implementing best practices in data integration and transformation.Developed comprehensive functional and technical architecture diagrams using tools like MS Visio and UML.Utilized SQL for creating T-SQL scripts and Stored Procedures, as well as for ad hoc querying and report production.Implemented Agile methodologies, capturing requirements, creating use cases, and executing test strategies within Agile frameworks.Maintained Jira dashboards and facilitated sprint reviews to track project progress and ensure alignment with business objectives.Data Analyst Hypersonix Inc  India May 2019  June 2020Applied ETL data load strategies effectively and executing Data Vault Modeling Design/Implementation.Designed and optimized complex SQL queries, enhancing database performance and reducing query execution times by up to 50%.Mastered in utilizing relational databases with advanced SQL coding skills, adept at crafting optimized stored procedures and views to handle complex analytical use cases with precision and efficiency.Used Python for facilitating the development of custom ETL solutions, automation scripts, and data manipulation tasks, augmenting efficiency, and flexibility in data processing workflows.Maintained Jira dashboards and facilitated sprint reviews to track project progress and ensure alignment with business objectives.EDUCATIONM.S. Business Analytics University of North Texas GPA: 3.5/4.0 Dec  2023PROJECTSData Mining and Machine Learning for Business: NBA Data Analysis and ForecastingMeticulous data cleaning and exploratory analysis of NBA data, followed by predictive modeling using various algorithms and tools, yielded actionable insights and showcased the versatility and proficiency in data analysis.Data Warehouse and Dashboard Design: A Comparative Study of QilkView and Tableau Business Intelligence ToolsThorough exploration and comparison of QlikView and Tableau BI tools included meticulous data warehouse design, ETL implementation, and dashboard creation, highlighting the researcher's adeptness in resolving data modeling challenges and evaluating tool efficacy for informed decision-making in Business Intelligence.Electrification Evolution: A Study on EV Growth and Adoption across the U.S.A meticulous analysis of EV adoption in the US employed clustering, PCA, time series, and regression techniques, demonstrating adept analytical skills and Python proficiency, culminating in data-driven strategies for EV growth.Healthcare Analytics Leveraging Data Warehousing.Thorough analysis of healthcare data storage and management highlighted the critical role of data warehousing, emphasizing its potential to enhance patient outcomes and resource allocation amidst the COVID-19 pandemic, backed by insights from industry leaders like McKinsey & Co.