Sowmya Penugonda

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

COVID-19 Data Visualization Using Python March 2024- April 2024

• Developed educational line graphs to show trends in COVID-19 cases, deaths, and recoveries over time using Matplotlib and Pandas
• Utilized real-world data from Johns Hopkins University to ensure accuracy and relevance, gaining practical experience in handling and visualizing pandemic-related data

Time Series Analysis Nov 2023 - Dec 2023

• Explored time series analysis and forecasting with a focus on product sales
• Built predictive models using ARIMA, SARIMA, and LSTM for forecasting stock prices, economic indicators, or climate trends

Bank Marketing Data Analysis and key features, their impact on Customer Churn Ratio May 2023

• Analyzed a bank marketing dataset using R for data imputation, preprocessing, and exploratory analysis
• Applied AI/ML techniques like Decision Tree, Random Forest, and XGBoost with Chi-Squared statistical treatment to identify key parameters affecting customer churn.