Reniguntla Seenu

Detail-oriented Computer Science undergraduate (CGPA: 9.0) with hands-on experience building and deploying end-to-end Machine Learning and Deep Learning projects using Python, TensorFlow, Keras, and Scikit-learn. Skilled in data preprocessing, exploratory data analysis, predictive modeling, and model deployment via Streamlit. Proven ability to deliver measurable results, with 87.68% CNN training accuracy and ~90% prediction accuracy on real-world datasets.

Seeking Machine

Learning, Data Science, AI, Data Analyst, or Python Developer Internship opportunities to apply analytical and data-driven problem-solving skills.

Machine Learning Intern - Pluto Academy

• Completed a structured Machine Learning internship covering supervised learning, model building, and evaluation techniques using Python
• Applied data analysis and predictive modeling concepts to hands-on projects under industry-aligned guidance

Bachelor of Technology (B.Tech) - Computer Science and Engineering - IIIT RGUKT RK Valley (2028)