Venkata Satya Sai Praneeth Pillarisetty

WORK HISTORY

EDUCATION

ABOUT VENKATA SATYA SAI PRANEETH PILLARISETTY

I am a data and AI professional with three years of experience in data engineering, machine learning, and analytics. Currently, I work as a student assistant at the California Department of Transportation (Caltrans), and I previously served as a Senior Systems Engineer at Infosys for two years. My expertise lies in data engineering, analysis, and leveraging AI/ML frameworks to drive data-driven insights. At Infosys, I developed AI-powered data migration solutions using AWS services, designed robust ETL processes with tools like DataStage and Snowflake, and implemented predictive models for data validation. I optimized cloud-based pipelines and utilized machine learning algorithms for large-scale data matching, anomaly detection, and forecasting, significantly improving operational efficiency and accuracy. At Caltrans, I enhance data integrity by verifying and compiling engineering data into the FHWA\'s HPMS database while producing statistical and engineering reports. I also use machine learning techniques to analyze traffic and roadway performance data, improving forecasting accuracy and enabling data-driven infrastructure design. My technical expertise includes Python, SQL, PL/SQL, C, C++, and Java, with advanced proficiency in AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. I am skilled in BI platforms like Tableau and Power BI, and my experience spans relational and NoSQL databases. I am also adept at end-to-end data processing pipelines, cloud platforms, and SDLC principles. I am a Master’s Student in Computer Science at California State University, Sacramento, where I have further honed my skills in secure software design, machine learning, and data engineering. I aim to apply my technical expertise to Data Engineering, Machine Learning Engineering, or Data Analytics roles, driving innovative solutions to complex challenges.