Sanjana Kumari

As a Data Analyst Intern at Accenture, I advised a hypothetical social media client by cleaning, modeling, and analyzing datasets to uncover content trends. I prepared a PowerPoint deck and video presentation to communicate key insights effectively.

During my internship with BCG, I conducted exploratory data analysis (EDA) and data visualization to uncover loan default patterns. I utilized Python libraries such as Pandas and Numpy to analyze data and engineered a random forest model achieving 85% accuracy in predicting churn.

In this project, I conducted EDA and data visualization to uncover loan default patterns, providing insights that reduced financial loss in loan approvals using libraries like NumPy and Pandas.

Analyzed a dataset of 100,000 e-commerce orders using Python and SQL to extract insights on customer demographics, order processing, pricing strategies, and product performance.

Developed a predictive model to assess credit risk using machine learning algorithms such as Random Forest and XGBoost. Conducted data cleaning, feature engineering, and deployed the model using Flask for real-time predictions.

Grade: 8.58

Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on software development and data analysis. Achieved a GPA of 8.58.

Grade: 76.2

Completed Senior Secondary education with a focus on academic excellence, achieving a score of 76.2%. Developed foundational skills in various subjects.