Saipavan Machineni

As an energetic and creative Data Engineer, I am enthusiastic about developing effective analytical solutions to communicate strategic insights. With my experience in data engineering, ETL pipelines, and data modeling, I hope to use my technical and problem-solving abilities to produce meaningful business outcomes for my next firm.

Customer Churn Prediction 

• Led two separate initiatives concentrating on customer churn prediction: one for a bank and the other in the telecom industry.
• Developed predictive models using classification methods like logistic regression, decision trees, KNN classifiers, and ensemble learning.
• To verify accuracy, we evaluated model performance using F1 scores, Confusion matrices, and ROC curves.
• Skills in Machine Learning and Classification have been demonstrated, with contributions to both projects.

Flight Ticket Analysis

• Implemented strict data quality assurance methods, eliminating errors by 98% for improved analytical precision.
• Expertise in site scraping, data analysis, and visualization for better flight data management and decision-making.
• Competent in data analysis and visualization, webscraping with BeautifulSoup, and improving decision-making processes for flight data management.

Certifications: Coursera Google Data Analytics Professional Certificate, Coursera Machine Learning Algorithms, Cryptography, Entrepreneurship, Future of Payments.