Internship at Shiprocket in Data Science
Shiprocket
07.2023 - 09.2023
- Conducted exploratory data analysis to identify patterns and trends in large datasets.
- Implemented supervised learning algorithms such as Random Forest, XGBoost and Logistic Regression for classification problems.
- Built dashboards with Tableau software to visualize the results of various analyses.
- Utilized libraries such as Numpy, Pandas, Matplotlib and Seaborn for data wrangling and visualization purposes.
- Performed exploratory data analysis on large datasets to identify trends and outliers.
- Gathered data for market research projects and analyzed findings to make recommendations.
