S
Sri Charani Battu
Sri Charani Battu
About
Detail
Bridgeport, Connecticut, United States
I am writing to express my interest in the Data Scientist position at your organization. With 2.5 years of hands-on experience in designing, deploying, and monitoring end-to-end machine learning solutions, I bring a well-rounded blend of technical expertise, business acumen, and cloud-native deployment skills that align well with your team's mission.
Most recently at Cloudera, I developed predictive models that improved business decision accuracy by 28%, reduced ETL latency by 40%, and deployed real-time ML services using Cloudera AI and AWS. I designed scalable pipelines using Apache Spark and Hive, monitored model performance with CloudWatch and SDX, and delivered executive-ready insights via Tableau and Seaborn.
Prior to that, I served as a Junior Data Scientist at IBM, where I built and deployed high-performing classification and regression models using TensorFlow, XGBoost, and Scikit-learn. My efforts improved forecast accuracy by 25% and automated manual decision workflows through real-time APIs on AWS SageMaker and IBM Cloud.
My skillset includes Python, SQL, Apache Spark, Docker, and cloud deployment across AWS and IBM Cloud platforms. I am passionate about transforming raw data into actionable intelligence and thrive in collaborative, fast-paced environments where I can help drive data-informed strategies.
Currently pursuing my Master's in Computer and Information Sciences at Sacred Heart University, I am eager to bring my real-world experience and academic background into a forward-thinking team where I can contribute to building data-driven products that create measurable impact.
Thank you for considering my application. I would be excited to connect and discuss how my background can support your organization's data initiatives.
Most recently at Cloudera, I developed predictive models that improved business decision accuracy by 28%, reduced ETL latency by 40%, and deployed real-time ML services using Cloudera AI and AWS. I designed scalable pipelines using Apache Spark and Hive, monitored model performance with CloudWatch and SDX, and delivered executive-ready insights via Tableau and Seaborn.
Prior to that, I served as a Junior Data Scientist at IBM, where I built and deployed high-performing classification and regression models using TensorFlow, XGBoost, and Scikit-learn. My efforts improved forecast accuracy by 25% and automated manual decision workflows through real-time APIs on AWS SageMaker and IBM Cloud.
My skillset includes Python, SQL, Apache Spark, Docker, and cloud deployment across AWS and IBM Cloud platforms. I am passionate about transforming raw data into actionable intelligence and thrive in collaborative, fast-paced environments where I can help drive data-informed strategies.
Currently pursuing my Master's in Computer and Information Sciences at Sacred Heart University, I am eager to bring my real-world experience and academic background into a forward-thinking team where I can contribute to building data-driven products that create measurable impact.
Thank you for considering my application. I would be excited to connect and discuss how my background can support your organization's data initiatives.
