Gopichand Tadapaneni

WORK HISTORY

EDUCATION

ABOUT GOPICHAND TADAPANENI

I hold a master\'s in Business Analytics with around 4 years of experience in data science, machine learning, and analytics. At FirstEnergy, an AI-powered decision support system was developed using TensorFlow, Scikit-learn, Spark, and Hadoop to analyze customer behavior and predict energy demands. Predictive models were deployed on AWS SageMaker and AzureML, ensuring scalability and real-time inference. CI/CD pipelines were streamlined using Docker, Kubernetes, and MLOps, improving update efficiency. Power BI dashboards visualized key metrics, reducing outages by 20% and boosting customer engagement by 25%. Additionally, led the “Car vs. Pole” data analytics project, creating Power BI dashboards to visualize pole collision data and identify poles requiring relocation or replacement. This initiative enhanced infrastructure management and reduced operational risks. Transformer maintenance optimization further improved uptime by 15-20% and reduced outages by 25%. As a Data Engineer Intern at Epsilon, ETL pipelines for marketing campaign analytics were optimized by integrating AWS S3 and third-party sources into AWS Redshift, reducing ETL runtime by 30% with AWS Glue and parallel SQL. Customer segmentation was conducted using Python and R, while Tableau dashboards tracked campaign performance, increasing customer conversion rates by 15%. At McKesson, predictive maintenance for medical equipment was managed using AWS SageMaker and XGBoost, reducing downtime and enhancing patient care. Machine learning models for ad targeting were developed and deployed at KPMG on GCP, increasing conversions by 18% and reducing costs by 22%. With expertise in Machine Learning, data analysis, ETL pipelines, cloud platforms (AWS, Azure, GCP), and tools like Power BI, Tableau, and Python, seeking roles in Data Science, Data Analysis, Data Engineering, or Machine Learning.