Experience & Education

I transform raw data into predictive power. Building custom ML models that solve specific business bottlenecks and uncover hidden opportunities. Building models that forecast trends, customer behavior, and demand to drive data-backed decisions. Implementing Computer Vision and NLP scripts to automate the extraction of insights from images and text. Refining existing algorithms to increase accuracy and reduce computational latency.

Developing predictive models using Python, Scikit-learn, and TensorFlow for real-world applications. Implementing classification algorithms like Random Forest and XGBoost for financial credit scoring and medical disease prediction. Applying Deep Learning (CNNs/LSTMs) to extract MFCC features for speech emotion recognition and image processing. Managing the full ML lifecycle: from data preprocessing to model evaluation using ROC-AUC and F1-Score metrics.

Completed a 6-month internship training program covering web technologies and professional development.