About Me
Around 3 years of experience in Data Analysis, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive Modeling, and Data Visualization. Experienced in working …
Around 3 years of experience in Data Analysis, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive Modeling, and Data Visualization. Experienced in working with various methodologies, including SDLC, Agile, and Waterfall, to ensure efficient project execution and data analysis. Proficient in NumPy, Pandas, Matplotlib, Seaborn, Scipy, ggplot2, and Pytorch for comprehensive data analysis and visualization. Expert in data visualization tools like Tableau, Power BI, and MS Excel for creating compelling, insightful reports and dashboards. Skilled in working with AWS to leverage cloud resources for data analysis, including EMR (Elastic MapReduce), ensuring scalability and efficiency. Excellent Knowledge of Electronic Medical Record (EMR) / Electronic Health Records (EHR) modules and process flow. Capable of handling various database systems, such as MYSQL, SQL Server, and NoSQL, for data storage and retrieval. Knowledge of using Jira for project management and GitHub for code repositioning. Proficiency in data cleaning and data wrangling techniques to ensure data quality and accuracy.
Experience
Data Analyst
Implemented Agile Methodology for building an internal application.
Worked on Python OpenStack APIs and used NumPy for numerical analysis.
Maintained PL/SQL objects like packages, triggers, procedures, etc.
Responsible for reporting, risk management, status reporting, and execution.
Used Python modules like Pandas, NumPy, Matplotlib, and SciPy to perform data analysis.
Collaborated with IT teams to implement data quality measures and automate data validation processes, resulting in a 20% reduction in errors.
Developed Tableau dashboards and reports to show the analysis insights.
Played a critical role in ensuring data accuracy by conducting thorough audits and quality checks on healthcare claims data.
Conducted comprehensive analysis of healthcare claims data to identify cost-saving opportunities and optimize reimbursement strategies for clients.
Used Jira for project management and GitHub for code repositioning.
Data Analyst
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Data Analyst
Developed business process models of Waterfall to document existing and future business processes.
Used pandas, NumPy, SciPy, and Matplotlib in Python for developing various machine-learning algorithms.
Collaborated with cross-functional teams to ensure accurate and reliable data preprocessing, cleaning, and validation for analysis purposes.
Used Data Services Designer for loading the data from Excel spreadsheet to MySQL.
Installed and configured on-premises gateway in Power BI services.
Managed Power BI Portal - Data refreshes / User management and set up gateway data refresh.
Conducted data audits and quality checks on healthcare claims data to ensure accuracy and compliance with industry standards.
Collaborated with IT teams to implement data quality measures, resulting in a 15% reduction in data errors and improved reporting accuracy.