This is my profileContact via CazVidSaran
Data Analyst
Contact
Competencies
Applied statistical methods to analyze healthcare and finance datasets to identify trends and support strategic decisions.
Designed and optimized SQL queries for extracting and manipulating large datasets from relational databases.
Created interactive dashboards using tools like Power BI and Tableau for data visualization and reporting.
Automated data processing tasks and generated analytical reports using Python libraries such as pandas and matplotlib.
Education
Summary
Experienced data analyst with a focus on healthcare and finance sectors, skilled in data visualization, SQL, and automation.
Key Achievements
- Developed and maintained dashboards for real-time data monitoring, improving decision-making efficiency
- Automated data collection and processing workflows, reducing manual efforts by 30%
- Collaborated with cross-functional teams to implement data-driven strategies that aligned with organizational goals
Experience
Data Analyst
Conducted comprehensive data quality assessments, achieving a 98% improvement in data accuracy., Developed and implemented data quality metrics to ensure integrity across various systems., Performed data cleansing and validation, enhancing dataset accuracy., Utilized tools (Informatica, Talend) to automate data cleansing, improving efficiency., Monitored data quality using automated tools, tracking key metrics and detecting anomalies in real-time., Created dashboards and reports to provide insights into data quality trends for stakeholders., Ensured compliance with data governance policies, including GDPR and HIPAA.
Data Analyst
Cleaned and prepared large datasets for analysis, ensuring accuracy and consistency., Analyzed data using SQL, Python, and Excel to identify trends and insights., Developed data visualizations and dashboards using Tableau and Power BI for effective communication of findings., Produced reports summarizing analysis results with actionable recommendations for business decisions., Collaborated with cross-functional teams to understand data needs and deliver customized solutions., Implemented automation scripts to streamline data collection and reporting processes.