Indu Shahi

Background

About Indu Shahi

I have strong quantitative background (M.Sc Math, M Sc Actuarial, MS health ) and passionate for Data Scientist role using R or Python in healthcare, public health, • Proven track record of Quantitative background (completed M Sc. degree in Actuarial Science, M Sc. in Mathematics, and MS in Global Health Policy and Management • I have a strong track record of data analysis, quantitative analysis, risk reduction analysis, product design on social and personal insurance, teaching experience in insurance and mathematical field. • I continue to be committed to data scientist in the healthcare, health/insurance, public health domain using R, Python, SQL. • Strong problem solving and analytical skills and domain expertise in insurance, economics and epidemiology• Proficient in python libraries, Jupyter, web scraping and Knowledge on Apache Spark and Scala• Expertise in both R and Python to manipulate data and draw insights from large data sets using cloud• Experienced with 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