Alvee Chowdhury

Data Analyst looking for a new challenge

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Regression Analysis of of hours worked by women in 1975

Conducted regression analysis, interpreting coefficients with significance tests, making predictions with confidence intervals. Employed dummy variables and tested equality of coefficients. Utilized J-test and RESET specification test. Discussed measurement errors and proxy variables’ effects. Applied Cook’s distance for outlier detection and conducted hypothesis testing

Testing the presence of racial discrimination in the labour market

Formulated 4 different questions related to discrimination and build one model for each question. The questions are:

  1. Is discrimination different for people from Boston and Chicago?
  2. Is discrimination different for male and female individuals with prior military experience having African-American sounding name?
  3. Is the effect of experience on the probability of being called back the same for people provided email address and those that didnot?
  4. Is discrimination different for people who mention some volunteering experience VS those that didnot for people applying to EOE?

Case Study #5 - Data Mart (8 week SQL Challenge)

The key business question we want to answer are the following: 1.What was the quantifiable impact of the changes introduced in June 2020?

  1. Which platform, region, segment and customer types were the most impacted by this change?
  2. What can we do about future introduction of similar sustainability updates to the business to minimise impact on sales?