Highly competent and meticulous data analyst with a solid experience in programming, statistics, and information technology systems. knowledgeable about data monitoring, auditing, and investigation pertaining to environmental health and safety compliance. competent with R, Python, SQL, and data visualization programs like Tableau. a self-starter who is ready to help by using analytical, results-driven data insights for decision-making and business success in a hectic setting. devoted to providing precise and useful recommendations. outstanding analytical and problem-solving abilities as well as a solid team.
Environmental Health and safety (Excel, SQL, PowerBi):
Environmental Compliance Dashboard (Excel, SQL): Developed Excel-based dashboard to track environmental compliance metrics, utilizing SQL for data integration and real-time monitoring.
Safety Incident Analysis (PowerBi, SQL): Created interactive dashboard to analyze safety incidents, using SQL for data extraction and providing actionable insights.
Esophageal Cancer Survival Prediction (Python, Tableau):
Developed a predictive model using Python and machine learning to estimate the survival chances of esophageal cancer patients. Interpreted results and effectively communicated findings using Tableau for data visualization.
Diabetes Factors Analysis (R Studio, Tableau):
Conducted a comprehensive analysis of diabetes factors using R Studio and statistical methods. Cleaned and analyzed data, interpreted trends, and presented findings through data visualization using Tableau.