Results-driven Computer Science undergraduate with a strong foundation in data analysis, visualization, and programming. Proficient in Python and key data libraries including Pandas, NumPy, Matplotlib, and Seaborn, with …
Results-driven Computer Science undergraduate with a strong foundation in data analysis, visualization, and programming. Proficient in Python and key data libraries including Pandas, NumPy, Matplotlib, and Seaborn, with hands-on experience in extracting insights from real-world datasets. Demonstrated ability to perform end-to-end data workflows, including data cleaning, exploratory data analysis, and visualization, through projects such as COVID-19 data analysis and Netflix content insights.
Skilled in creating interactive dashboards using Tableau and presenting data-driven findings in a clear and actionable manner. Familiar with tools like Jupyter Notebook, VS Code, and Excel for efficient data handling and analysis. Completed industry-relevant training including Deloitte’s Data Analytics Job Simulation, gaining exposure to business problem-solving and data storytelling.
Strong analytical thinker with the ability to translate complex data into meaningful insights. Seeking opportunities in data science or analytics roles to apply technical skills, contribute to real-world projects, and continuously enhance expertise in data-driven decision-making.
<ul><li>Analyzed Netflix titles dataset using Pandas and NumPy; performed comprehensive data cleaning and preprocessing.</li><li>Designed multiple chart types (bar, histogram, pie) using Matplotlib to surface content trends and patterns.</li><li>Built a menu-driven CLI interface for user-guided dataset exploration with an animated exit visualization.</li></ul><p>Demonstrated end-to-end pipeline: ingestion → cleaning → EDA → visualization → insight communication</p>
<ul><li>Built an interactive Python analysis tool using NumPy, Pandas, and Matplotlib on real-world Kaggle COVID-19 datasets.</li><li>Implemented a user-input feature enabling per-country retrieval of confirmed, death, and recovery statistics.</li><li>Designed dynamic bar and pie chart visualizations to present country-level COVID-19 insights clearly.</li></ul><p>Applied data cleaning, aggregation, and EDA techniques to ensure accurate and reliable reporting</p>
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