SUBASHITHA GANUGAPATI

Passionate and driven graduate in computer science with a solid foundation in programming, machine learning, and analytical problem-solving. Experienced in uncovering actionable insights from complex datasets and skilled in implementing innovative solutions. Proficient in utilizing advanced tools and techniques to create effective visualizations and optimize system performance.

04/2020, Certified by Coursera, Electrical Power Systems
05/2020, Certified by Coursera, DeepLearning.AI

Diabetes Prediction Using ML Algorithms
Project Role: Developer
Software Tools: Jupyter Notebook, Python, and scikit-learn
Description: Designed and implemented a machine learning project to predict diabetes likelihood in patients using Python and scikit-learn. Preprocessed data through feature scaling and handling missing values, and developed models such as Logistic Regression, Decision Trees, and Random Forests. Achieved over 90% accuracy by optimizing hyperparameters and applying cross-validation. Demonstrated proficiency in data preprocessing, algorithm comparison, and health data analysis.

Here’s an NLP project you can include in your resume:

Text Summarization Using NLP Techniques
Project Role: Developer
Software Tools: Jupyter Notebook, Python, and NLTK
Description: Implemented a text summarization project using Python and NLP libraries like NLTK and SpaCy. Extracted key information from lengthy documents by employing techniques such as tokenization, stemming, and TF-IDF-based scoring. Demonstrated the ability to preprocess large textual datasets and create concise, meaningful summaries for effective information retrieval and analysis