Diabetes Prediction System
XGBoost model with feature engineering and explainability to predict diabetes from patient data.
View ProjectData Scientist & Machine Learning Engineer
Transforming data into actionable insights with Python, Machine Learning, and cutting-edge AI technologies.
I'm a passionate Data Scientist and Machine Learning Engineer with expertise in transforming complex datasets into meaningful insights. I specialize in building scalable ML models, performing advanced data analysis, and creating data-driven solutions that drive business growth and innovation.
With a strong foundation in Python, I work with scikit-learn, SQL, and modern visualization tools. I'm constantly learning and exploring new areas like medical AI, time-series, and NLP.
XGBoost model with feature engineering and explainability to predict diabetes from patient data.
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Feature-engineered regression pipeline with model explainability and production-ready deployment plan.
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Convolutional neural network trained on medical X-rays to detect bone fractures with high precision and recall.
View ProjectEmail: kcbardan0@gmail.com
LinkedIn: linkedin.com/in/BARDAN
Github: BARDAN7
Phone: 9803172007