VISHNUTEJA KURUGUNTLA

Insightful Data Consultant recognized for high productivity and efficient task completion. Specialize in data analysis, visualization, and database management. Excel in problem-solving, communication, and teamwork to achieve project goals. Committed to delivering actionable insights from complex datasets to drive business decisions.

 Artificial Intelligence project for solving 8 puzzle problems using multiple algorithms like depth-first search, breadth-first search, uniform cost search, A , depth limit search, greedy, Conducting a 3-depth search within 10 seconds across evolving game grid spaces from 3 3. Nim Minimax Game Agent, Implemented the Nim game mechanics, including player input, game state management, and win conditions. Integrated the Minimax algorithm to create an intelligent AI opponent capable of making optimal moves., Fine-tuned the algorithm parameters to balance between performance and strategic decision-making. Conducted thorough testing to ensure the AI opponent provided a challenging and engaging experience for players. Advanced Sentiment Analysis Using Neural Networks, 02/2023-03/2023, Deep learning project for sentiment analysis, employing Recurrent Neural Networks (RNNs), including LSTM and GRU, with PyTorch. The task involved processing over 430,000 Amazon reviews for sentiment classification., Enhanced model accuracy by 6% through strategic text data preprocessing and Word2Vec for feature generation. Through comparative studies, the GRU model proved to be the most effective, delivering the highest accuracy rates on the test dataset. Document Classification using Naive Bayes, 03/2023-04/2023, Implemented Naive Bayes-based document classification system with NLP, achieving high accuracy through optimized model parameters. Applied advanced tokenization and lemmatization for effective preprocessing of diverse textual data, capturing semantic nuances., Contributed to a scalable and maintainable codebase, emphasizing modular design and collaboration with cross-functional teams. Demonstrated expertise in machine learning, classification algorithms, and model optimization. Successfully deployed the system, showcasing effective communication and teamwork skills. Proficient in Python, with a focus on text preprocessing and NLP techniques. Event Master (Python, Node, React, Java, Android App, GCP, Backend), Ticketmaster clone, streamlining the event reservation process, resulting in a 50% reduction in booking time., Built 3 different replica applications to Illustrate expertise in agile software development and proficiency in Node & and Python back-end and JavaScript Frameworks (React) and Android Development. Showing knowledge of Pure JavaScript and Flask, React, Node, Java Android applications, and Web Services. Processing over 1,000 events daily through a paid optimized version of Ticketmaster API hosted on Google Cloud Platform.