DHEERAJ KUMAR CHINNAM

Results-driven MSc Data Science graduate with expertise in Python, SQL, and advanced Machine Learning techniques. Strong foundation in statistics, predictive modeling, and deep learning, with hands-on experience in NLP, Computer Vision, and MLOps. Passionate about transforming complex data into actionable insights using AI-driven solutions and advanced analytics. Proven ability to develop, optimize, and deploy scalable ML models in cloud environments (AWS, GCP). Seeking to leverage technical skills and research experience to solve real-world challenges as a Data Scientist or AI Engineer.

COVID-19 Detection using Chest X-Ray (PyTorch).

• Built a CNN model using PyTorch to classify COVID-19, pneumonia, and normal X-rays.
• Used transfer learning (ResNet, VGG) for feature extraction, achieving high accuracy
• Implemented Grad-CAM for explainability and deployed using Flask/Streamlit.

Health Failure Prediction using Machine Learning

• Developed a machine learning model to predict health failure risks using patient data.
• Used Logistic Regression, Random Forest, and XGBoost for classification.
• Performed data preprocessing, feature selection, and hyperparameter tuning for accuracy.