Data Scientist & Machine Learning Engineer
Focused on building meaningful, data-driven solutions in education, healthcare, and biotech.
Skilled in Python, ML modeling (Scikit-learn, TensorFlow, MobileNetV2), and data storytelling through visualization.
I thrive on solving complex problems that matter—whether it’s aligning education with real-world needs or leveraging machine learning for health impact.
- Image classification using Tensorflow
- Predictive modeling for education & healthcare data
I believe the best insights come from asking the right questions. With a background rooted in research and a drive to make data science more accessible and practical, I work on projects that blend technical rigor with real-world relevance.
From investigating the calculus pipeline in education to training neural networks for medical image classification, I approach data like a puzzle—with curiosity, care, and a bias toward action.
Python Pandas Scikit-learn TensorFlow Keras SQL Seaborn Matplotlib Git MobileNetV2
“Using data to tell stories and make visionary changes”