Taha Tinwala

I’m a Computer Engineering student and Data Science trainee focused on delivering end-to-end AI/ML solutions. I work across Python, Machine Learning, Deep Learning, and Natural Language Processing to turn real-world data into predictive insights.

I’ve completed a one-year Data Science training program at SKYTECH IT Training Center, building projects from data preprocessing and feature engineering through model training, evaluation, and predictive analytics. I’m comfortable using TensorFlow, Keras, and Scikit-learn to develop practical, model-driven systems.

My work includes NLP and deep learning projects such as a Spam-Ham SMS Classifier using TF-IDF and Logistic Regression, a Digit Recognizer with a CNN (over 98% accuracy), and a TF-based feature engineering workflow to improve performance on real-world datasets. I also build with data analysis and visualization tools like Pandas, NumPy, Matplotlib, and Seaborn.

I enjoy solving challenging problems—especially those involving predictive analytics and text understanding—and I value clean experimentation, strong evaluation, and clear results. I’m eager to apply these skills in a role where I can keep learning and ship reliable ML solutions.