Data Exploration on a retail company. Python is for data manipulations and seaborn is used for exploration of data.

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Lin…

Investigating a drop in user engagement of an organization -Yammer, with the help of advanced SQL queries and appropriate visualizations. Yammer_drop_users contains visualizations and SQL_queries f…

Data Wrangling

Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.

Statistical Analysis is used to determine if race plays an important role in callback rates (from recruiters)

Compare the means of two groups (male & female) body temparatures

Logistic Regression in Python is used to study the classification problem of heights & weights in men and women

Applied linear regression on Boston house prices data set to predict the sale price of a house.

Transform XML tree structured file into data frame with Python pacakges

Get familiar with Python packages for dealing with JSON