Data Scientist/Data Analyst/ professional with 10+ years of experience in health/insurance data wrangling, data cleaning and dimensionality reduction and predictive modelling skills * Excellent in machine learning techniques (regression, decision tree, random forest, artificial neural) networks, etc.) and their real-world advantages/drawbacks * Expertise in both Supervised (Regression/LASSO, SVM, Neural Networks) and Unsupervised (Association, Clustering) Machine Learning algorithms * Proficient in Deep Learning techniques (RNNs/CNNs/LSTMs/GANs) and their applicability using TensorFlow on Cloud (AWS, google) based analytics platforms * Command in Natural Language Processing, tokenization, parsing, stemming, TF-IDF) * Excellent written and verbal communication skills for coordinating across teams * Competent in model validation, optimization, hyperparameter tuning and regularization (Ridge/LASSO)

Highlights:

Companies I like:

Blue Cross/Blue Shield, Aetna , Hummna

• Microsoft Excel
• Insurance
• Benefits
• Actuarial
• Forecasting
• Data Analysis
• Forecast
• GAAP
• Generally accepted accounting principles
• Interest Rate