Pavithra Lakshmi Venugopal

• Detail-oriented Data Analyst with expertise in Python, SQL, Tableau, Power BI, and Excel.
• Proven projects in extracting, analyzing, and visualizing data to drive informed business decisions.
• Skilled in data cleaning, statistical analysis, and creating interactive dashboards that translate complex data into actionable insights.
• Seeking to leverage analytical skills and technical proficiency to contribute to data-driven decision-making in a dynamic organization.

IBM - Data Science - Capstone Project - SpaceX

This project analyzed space launch success rates using various predictive models, including logistic regression, SVM, decision tree, and K-Nearest Neighbors. Data was standardized and optimized using GridSearchCV with cross-validation. The decision tree model performed best in predicting launch success. Key findings included a higher success rate for launches near the equator and coast, increased success over time, and a positive correlation between payload mass and success rate.

• COVID-19 Deaths and Vaccinations Analysis Project - SQL
• Global Job Satisfaction Survey Visualization Project - Power Bi
• Coffee Sales Analysis and Dashboard Creation Project - Excel Pivot Table
• COVID-19 Data Analysis and Visualization Project - Tableau

• Coursera, IBM Data Science Professional Certificate - 10 Courses
• Udemy, The comprehensive SQL course
• LinkedIn, Excel Essential Training (Microsoft 365)