Jul 2024 – Aug 2024 · 1 mo · India · Remote

• Conducted data cleaning and preprocessing, ensuring data quality by handling missing values, removing duplicates, and standardizing formats.
• Performed exploratory data analysis (EDA) to derive insights and identify trends in datasets, utilizing Python libraries such as Pandas and NumPy.
• Created visualizations using Matplotlib to effectively communicate findings and support data-driven decision-making.
• Engaged in descriptive statistics to summarize data characteristics and provide actionable insights.
• Merged and aggregated datasets to facilitate comprehensive analysis and reporting.
• Assisted in time series analysis to forecast trends and patterns.