Ponnaluri Vyshnavi

Experienced data enthusiast with a strong background as a business intelligence analyst, specializing in the banking, finance, and supply chain industries. Possessing over 7 years of industry experience, has successfully worked with Fortune 500 clients to deliver valuable insights and drive data-informed decision-making. Proficient in SQL, Python, and Tableau, expertise extends to problem scoping, generating actionable insights, scripting data, modeling complex datasets, and monitoring data for accuracy and quality.

• Big Data and Hadoop Fundamentals Certification
• Star Performer for Year
• Star Team Award

Coronary Heart Disease Prediction:

Predict whether a person would be affected with a coronary heart disease or not based on their past medical historical data of 10 years., Incorporated mice package, square root transformation, capping techniques to resolve the effect of null values, skewness, outliers on data set of 10000 rows and 12 columns., Build classification models logistic regression, random forest, achieved accuracy of 75 % and AUC of 0.75. 

Mode of Transport :

To know the mode of transport that the employees prefer while commuting to the office., Models such as logistic regression, KNN were applied to address the use case, showcased an improved accuracy of 20 % after applying Bagging and Boosting procedures to the model. 

YouTube likes Prediction :

Predict the number of likes a YouTube video will get from the time video gets uploaded., Implemented use case using logistic regression, achieved an accuracy of 55%.