Hi, I’m Tenika Powell, a data science student and aspiring Machine Learning Engineer passionate about connecting healthcare and artificial intelligence.

Currently training at 4Geeks Academy, I’m mastering predictive modeling, deep learning, and Python-based pipelines to turn real-world data into human-centered insights.

💡 “Learning is my aesthetic. Growth is my goal.”

📍 Based in Michigan
🎓 Background in Healthcare & Data Analytics
💬 Loves AI, visualization, and simplifying complex data

🔗 Connect With Me
🌸 LinkedIn • 💖 GitHub • 💅 Portfolio

.🏥 Hospital Readmission Predictor

Built with TensorFlow + Scikit-learn to predict diabetic patient readmissions from hospital data.
Integrated feature selection, data visualization, and multiple model comparisons.
🔍 Goal: Reduce hospital costs and improve patient outcomes using data-driven predictions.

🧠 Neural Network (12 Neurons)

Designed and trained a simple feed-forward model to study overfitting behavior on small healthcare datasets.
Implemented early stopping, callbacks, and visualization for model interpretability.

🧬 CAFA-6 Protein Function Prediction (Deep Learning Project)

Advanced bioinformatics exploration using PROTBERT embeddings and TensorFlow.
Built and evaluated deep neural networks for protein function classification, visualized amino acid correlations, and applied dimensionality reduction for insight.
🧠 Goal: Bridge computational biology and deep learning for medical innovation.
🧩 Stack: TensorFlow · Pandas · Matplotlib · PROTBERT · Bioinformatics Datasets

AI-powered Emotion Recognition & Mental State Monitoring System

🧩 Built with TensorFlow + OpenCV + NLP sentiment models
💬 Detects emotional tone through text and facial cues
🎨 Includes real-time dashboard for mood visualization
☁️ Planned deployment with FastAPI + Hugging Face

Goal: Build compassionate AI tools that help humans understand themselves better.