Krishnavamshi Samala

Worked with students and early-career professionals exploring Data Science, AI, and Software Engineering programs. • Consulted prospective learners on technical career paths and suitable programs. • Managed outreach, follow-ups, and CRM-based lead management. • Collaborated with marketing and academic teams to improve learner engagement. • Developed strong communication, problem-solving, and stakeholder-management skills.

Worked on real-world ML problems during a 6-month remote data science internship — covering the full workflow from data cleaning to model evaluation. Projects: • Spam Detection Model — built a text-classification pipeline using NLP techniques (tokenization, TF-IDF vectorization) and trained Naive Bayes & Logistic Regression classifiers. Evaluated with accuracy, precision, recall, and F1-score. • Advertisement Click Analysis — performed exploratory data analysis on user-behavior data to identify patterns; bu

Built foundational Python applications to deepen my core programming, problem-solving, and clean-code practices during a 6-month software internship. (AICTE endorsement) Projects: • Sudoku Solver — implemented a recursive backtracking algorithm; gained hands-on experience with constraint-satisfaction problems and algorithmic thinking • Password Generator — built a secure password tool with configurable length and character-class rules using Python's random and string modules • Calculator Application — appli

Dual-degree program with Deggendorf Institute of Technology (DIT), Germany, focusing on Artificial Intelligence and Data Science.

Master's degree in Artificial Intelligence & Data Science at one of Bavaria's leading applied-science universities. Coursework spans machine learning, deep learning, statistical modeling, big data analytics, computer vision, and NLP. Activities: Artificial Intelligence Club, Data Science Society, H