Harini Ganesula

Contributed to a project focused on developing and implementing AI-ML algorithms for detecting fraudulent activities in credit card transactions.
Analyzed large datasets of credit card transactions to identify patterns and anomalies indicative of fraudulent behavior.
Developed and tested various machine learning models, including supervised and unsupervised learning techniques, to improve detection rates.
Implemented data preprocessing techniques, feature extraction, and model training using Python and relevant libraries (e.g., skit-learn, TensorFlow).
Conducted extensive testing and validation of models to ensure robustness and effectiveness in real-world scenarios.
Skills acquired-Machine Learning: decision trees, random forests, and neural networks.

Performed comprehensive testing on WEKA to evaluate its capabilities in various areas such as data preprocessing, algorithm selection, model training and prediction generation
Learned to implement machine learning algorithms and artificial intelligence techniques to enhance the information in the database
Developed proficiency in using WEKA's graphical user interface (GUI) for data analysis, algorithm selection, and model evaluation
Skills acquired: Machine Learning Algorithms | Artificial Intelligence Techniques | Data Interpretation

Developed and deployed TensorFlow machine learning models for analyzing extensive datasets and extracting valuable insights
Implemented Artificial Intelligence and Machine Learning applications using Google Cloud Platform tools
Enhanced skills in using Tensorflow for algorithm development and applying it to Machine Learning and Natural Language Processing.
Skills acquired: Machine Learning | Natural Language Processing | Algorithm Design | Tensorflow Proficiency

Utilized modern web technologies and frameworks such as HTML5, CSS3, JavaScript, and React.js to build and optimize user interfaces.
Implemented best practices for web development, including responsive design and cross-browser compatibility.
Developed interactive and dynamic web components, ensuring seamless user experiences and meeting project requirements.
Integrated APIs and managed data flow between the front end and back end to enhance application functionality.
Skills acquired:
Soft Skills
Front-End Technologies: Proficient in HTML5, CSS3, JavaScript, React.js.