Baby name popularity analysis provided by the Social Security Administration

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Using logistic regression to predict the name that that may have had the largest increase or decrease in popularity.Utilized data visualization to present the high dimensionality of features of state, name and year using python and xml.

• Company: Capital One
• Date: March 2016
• Project: Data Science

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Flight Delay

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Extracted five main reasons for the air flight delay and then gather the related data such as flight and weather data, etc. Selected informative features by lasso regression and Principle Component Analysis and implement SGD SVM, Decision Tree, Logistic Regression and Random Forest on our data set to train the model and got 91.1% accuracy.

• School: New York University
• Date: Oct.2015 to Dec.2015
• Project: Machine Learning

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Supporting Search-As-You-Type Using SQL in databases

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Presented solutions for both single-keyword queries and multi-keyword queries, and improved search using SQL by allowing mismatches between query keywords and answers.

• Company: Sap Company
• Date: Dec.2015 to June 2015
• Source: Watch on Youtube

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