Riley Thompson

Dynamic professional with proven expertise in risk pattern recognition and data management at UMB Bank. Proficient in Python with strong communication skills, effectively bridging technical concepts and client understanding. Ensures compliance while enhancing customer experience through innovative solutions. Committed to empowering others through technology and education initiatives.

• Concatenative Voice Synthesizer: Developed a speech synthesis system using concatenative methods, assembling pre-recorded phoneme segments to generate natural-sounding speech. Implemented text-to-speech conversion with efficient phoneme segmentation and synthesis techniques., Python, Praat, NumPy
• Sentiment Analysis Classifier: Developed a TF-IDF + LinearSVC NLP classifier for movie review sentiment analysis, achieving ~93% validation accuracy and deploying the project with Docker for reproducible experimentation.
• Neural Network for Tip Prediction: Designed and trained a neural network to predict expected tips based on factors like order size, time of day, and customer demographics. Utilized real-world restaurant data from personal experience to improve model accuracy and interpretability., Python, Keras, TensorFlow, Pandas