Data Science Intern Resume

SUMMARY

Graduate Student in Business Analytics wif experience in building deep learning, machine learning and statistical models to deliver insights and implement action - oriented solutions to business problems.
Expertise in analysing, organizing and interpreting noisy and large data sets.
Expertise in developing deep learning and machine learning models using integrated linear regression, logistic regression, polynomial regression, support vector machine, Decision Trees, Naïve Bayes, Random Forest, K Nearest Neighbor, Light GBM, Ada boosting, XGBoosting, Gradient boosting, TEMPPrincipal Component analysis, Cluster analysis using K Means Clustering and Hierarchical Clustering.
Expertise in analyzing cross-sectional and longitudinal data using statistical methodologies like t-test, chi-sq and ANOVA.
Expertise in Natural Language Processing.
Expertise in writing optimized SQL queries for data manipulation.
Expertise in creating data visualizations and dashboards for qualitative and quantitative analysis using Tableau and Power BI.

PROFESSIONAL EXPERIENCE

Confidential

Data Science Intern

Responsibilities:

Built a sentiment analysis POC to capture teh context of a textual data by constructing an artificial neural network using Keras and Gradient Boosted Tree using H2O in Python.
Labelled, trained, and modelled pneumonia patient chest x-rays using google TensorFlow and AutoML.
Experience in using Google Cloud Platform for data storage, migration and processing.

TECHNICAL SKILLS