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Bharath Chowdary Nuthalapati Data AnalystEMAIL AVAILABLE PHONE NUMBER AVAILABLE Halethorpe, MD LinkedIn ProfileData Analyst with over 3 years of experience in statistical analysis and data visualization. Proficient in Python, SQL, Tableau, and Power BI for data analysis and visualization. Experienced in predictive modeling, feature engineering, and data cleansing. Knowledgeable in cloud platforms such as AWS and Azure. Committed to enhancing business efficiency through data-driven insights.Skills Programming Languages: Python, R, SQL, NoSQL, HTML, CSS Frameworks & Tools: NumPy, Pandas, Matplotlib, GitHub, Docker, Jenkins, Statistics, Agile, SAS, Hadoop, Hive, PySpark, Seaborn, Sci-kit Learn, KPI Analysis, Automation Power Query Databases: MySQL, MS-SQL, Redshift, Snowflake, Big Query, PostgreSQL, MongoDB, SparkSQL Data Analysis / Tools: Power BI, Tableau, Data Bricks, MS Excel, Google Analytics, Data (Modeling, Mapping, Mining, Extraction, Transformation), JIRA, Postman, Big-Query, SAP ERP, Machine Learning, Tensorflow, Keras, NLP, Deep Learning, Databricks, Data Modeling, ETL Soft Skills: Communication, Team Management, Collaboration, Time Scheduling, Leadership, Creativity Professional ExperienceData Analyst, Nationwide Mutual Insurance 08/2023  Present Remote, USAConducted comprehensive insurance data analysis using Python, SQL, and R, correcting over 1,000 instances of missing data, outliers, and inconsistencies, transforming raw data into actionable insights that enhanced decision-making processes.Ensured high data integrity by cross-verifying datasets against five external sources, applying statistical methods with SAS and R, and implementing effective KPI monitoring, resulting in a 65% improvement in data accuracy and a 42% in relevance.Developed predictive models using scikit-learn and statistical analyses that streamlined insurance underwriting, reducing claims processing time by 25% and providing critical insights for strategic business decisions.Utilized AWS S3 for data storage and AWS Athena to analyze 1TB datasets, extracting insights from complex insurance data to enhance operational efficiency and inform decision-making. Familiarity with Amazon Redshift for advanced analytics tasks.Developed a suite of interactive dashboards that transformed complex datasets into accessible visual formats, empowering business unit leaders to make informed decisions quickly and reducing analysis time by an estimated 15 hours monthly.Established a comprehensive GitHub version control strategy that documented over 75 code revisions, enhancing team collaboration and reducing project delays by an average of two days, while gaining experience with Apache Airflow for workflow management.Data Analyst, Sigma InfoTech 02/2020  12/2021 Hyderabad, IndiaCreated scalable data pipelines for processing over 500,000 patient records daily, using Python, SQL, and ETL frameworks, achieving 99.9% data accuracy across electronic health records (EHR) and clinical data sourcesBuilt interactive dashboards and reports in Power BI and Tableau that improved decision-making efficiency by 40% through actionable insights into patient outcomes, treatment efficacy, and healthcare operations.Managed advanced data analysis and predictive modeling using Python libraries (Pandas, NumPy, Scikit-learn) to improve forecast accuracy by 25%, identifying critical healthcare trends, patient care anomalies, and operational bottlenecks.Enhanced data retrieval and querying performance by optimizing SQL and Spark SQL queries, reducing execution time by 30% and improving data extraction from EHR systems, medical databases, and cloud-based data warehouses.Automated ETL workflows using AWS Glue, AWS Lambda, and Apache Airflow, improving data pipeline efficiency and data accessibility for clinical researchers by 35%, ensuring consistency and integrity across healthcare data processes.Designed and implemented a realtime monitoring system using CloudWatch, resulting in a 25% decrease in response time to sy stem alerts, thereby ensuring uninterrupted operational efficiency in healthcare applications.Performed data cleansing and transformation to standardize large datasets, using SQL, Python, and Excel for accurate data reporting and analysis, improving data quality and reducing inconsistencies by 30%.Implemented advanced business intelligence tools and innovative data visualization techniques that transformed monthly repo rting processes, improving data accessibility for over 100 healthcare staff and enhancing decision-making efficiency by 40%. EducationMaster of Science, University of Maryland Baltimore County 08/2022 - 05/2024 Halethorpe, USA Computer ScienceBachelor of Technology, PVPSIT 07/2018 - 05/2022 Vijayawada, India Information Technology