Nikhil Dange Email & Phone Number

San Francisco Bay Area

San Francisco Bay Area

• Worked in a team to develop machine learning algorithms to solve problems in healthcare like risk prediction, patient subtyping• Developed XGBoost and LightGBM model on HCUP dataset to predict hospital readmissions rates and achieved 90% accuracy.• Performed Exploratory data analysis using Google BigQuery on MIMIC-3 Electronic Health Record data • Developed interactive dashboard with Pandas, Plotly and Jupyter Ipython widgets• Developed LSTM and CNN based models using TensorFlow 2 for predicting cardiac arrhythmia using 12 lead ECG signals• Developed LSTM models using TensorFlow 2 for predicting risk and clustering patient based on subtypes

• Developed and Deployed a prototype web-app to report bone marrow observation from whole slide cytopathology images.• Successfully helped in reducing the time for reporting a single bone marrow diagnosis case from 40 mins to a few minutes• Researched various Deep Learning based Computer Vision algorithm for detection of malignant cells in whole slide images

Master Of Science - Ms, Electrical And Electronics Engineering

Bachelor Of Technology - Btech, Electronics And Telecommunication