Detail-oriented and analytical aspiring Data Analyst with a strong academic background in Applied Physics and Computer Science. Experienced in extracting insights from data, building visualizations, and developing data-d…
Detail-oriented and analytical aspiring Data Analyst with a strong academic background in Applied Physics and Computer Science. Experienced in extracting insights from data, building visualizations, and developing data-driven solutions. Passionate about using data to inform decisions and improve outcomes. Seeking data analytics opportunities to apply analytical skills, technical knowledge, and a drive for continuous learning.
Gained practical experience in data gathering, cleaning, processing, analysis, and visualization.
Worked on real datasets to derive actionable insights.
Learned and applied tools such as Python (Pandas, NumPy, searborn, Matplotlib), SQL, and Excel for data handling and reporting.
Gained practical experience in data gathering, cleaning, processing, analysis, and visualization., Worked on real datasets to derive actionable insights., Learned and applied tools such as Python (Pandas, NumPy, searborn, Matplotlib), SQL, and Excel for data handling and reporting.
- Conducted environmental data analysis to evaluate Air Quality Index (AQI) and Water Quality Index (WQI). - Collected and analyzed real-time environmental data using Python and integrated Weather API for up-to-date readings. - Used Power BI for creating comprehensive data reports and dashboards. - Implemented ZoomCharts to simulate environmental impact and pollution trends. - Derived actionable insights to support environmental decision-making and pollution management.
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