Deepanshu Negi

Working as Data Science Professional with Decision Analytics team to identify and build data driven solutions for various business requirements in healthcare insurance domain. Building end-to-end predictive models using XGBoost, Random Forest, Logistic Regression etc. Designed and implemented a hybrid recommender system that improves ranking of real-time offers, increasing click-through rate by 20%. Automated manual RTO Scoring process using Airflow and PySpark. Developed delivery capping strategy for product, yielding around $2M value. Worked on building NLP model for Text Classification to extract different pages from adobe clickstream dataset.

Machine Learning Engineer for the clients of the Life Sciences domain. Implementing machine learning concepts of regression and classification. Statistical analysis on data by performing Exploratory Data Analysis and fine tuning of models to effectively predict suitable patients for clinical trials. Improved accuracy of simulation by 30% using complex algorithms.

Worked as Junior ML Engineer for the clients of the Life Sciences domain in US and Germany. Analyzing the errors of the model and designing strategies to overcome them. Worked with a wide variety of internal and external counterparties to ensure timely identification of issues and their resolution.