Gauri Paliwal

Built an interactive dashboard by cleaning data, engineering features, and removing blanks for accurate analysis. Developed KPIs and visualized trends by year, state, make, model, and CAFVeligibility using charts and maps.

Explored startup investment trends using Pandas and NumPy, focusing on episode-wise and shark-wise funding patterns. Identified key insights such as most active investors and highest total investments, visualizing findings with Seaborn and Matplotlib.

Conducted EDA using Pandas, NumPy, and visual libraries to explore global life expectancy trends. Treated missing data, outliers, and skewness; encoded categorical variables and scaled features using StandardScaler.

Performed EDA and preprocessing using Pandas, NumPy, and Seaborn to prepare data for ML modeling. Cleaned data by handling nulls, encoding categories, treating outliers, addressing skewness, and scaling features.

Currently completing a data analytics course, gaining hands-on experience with tools like Excel, SQL, Python, and Tableau. Eager to apply newly acquired skills in a real-world setting, contribute to team goals, and continue learning and growing in the field of data analysis.

Completed a Bachelor of Science in Home Science, gaining foundational knowledge in various aspects of home science. This program provided a comprehensive understanding of the field.