Ashwath G K

I am a results-driven data analyst and machine learning engineer with hands-on experience building predictive models and end-to-end AI solutions. I combine strong communication and teamwork skills with analytical thinking to tackle complex problems effectively.

My technical work spans Python-based data preprocessing, feature engineering, and model development using Scikit-learn, Keras, PyTorch and TensorFlow, as well as model evaluation and visualization with Matplotlib and Seaborn. I have applied classical algorithms (Linear Regression, Decision Trees, SVM) and deep learning approaches in real projects.

I developed StrokeSense.AI, a stroke detection platform integrating speech recognition, sensor data, GCP, and Twilio to provide rapid emergency alerts, and built an NLP sentiment detection system using SVM and LSTM with explainability enhancements. I also have frontend development experience creating responsive sites using HTML, CSS, Bootstrap and JavaScript and deploying via GitHub Pages and Netlify.

I hold a BE in Artificial Intelligence and Data Science and a diploma in Mechanical Engineering, have won best major project awards, and contributed as a dedicated NSS volunteer. I am adaptable, deadline-driven, and eager to contribute AI and ML expertise to impactful, data-driven teams.