Kethineni Sahithi

I am a motivated Data Science undergraduate with hands-on internship and project experience, strong academics, and a passion for practical machine learning applications. I bring technical fluency in Python, Java, RDBMS, and Pega development backed by a 9.38 CGPA.

During internships I developed responsive web pages as a Frontend Developer and built scalable case lifecycles and integrations as a Pega Developer Intern. I have applied model building, feature engineering, tuning, and validation in predictive farming and voice-assistant projects.

I focus on building usable, production-minded solutions: integrating multilingual voice interfaces for farmers, engineering REST integrations, and configuring decision rules and SLAs in Pega. I pair technical skills with problem solving, analytical thinking, and effective team collaboration.

I am eager to contribute in an entry-level role where I can apply ML and GenAI techniques, expand my software and Pega expertise, and grow within technology-driven teams that value continuous learning.