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Tishman Speyer Interview Questions

tishman speyer is one of the leading owners, developers, operators, and managers of first-class real estate in the world, having managed a portfolio of assets since its inception of over 123 million square feet across the united states, europe, latin america and asia.

tishman speyer is one of the leading owners, developers, operators, and managers of first-class real estate in the world, having managed a portfolio of assets since its inception of over 123 million square feet across the united states, europe, latin america and asia.

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Tishman Speyer Interview Guides

You’re given a dataframe <code>df_rain</code> containing rainfall data. The dataframe has two columns: day of the week and rainfall in inches.

Write a function <code>median_rainfall</code> to find the median amount of rainfall for the days on which it rained.

Note: You may assume it rained on at least one of the days.

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

rainfall = {&#34;Day&#34; : [&#34;Monday&#34;, &#34;Tuesday&#34;, &#34;Wednesday&#34;, &#34;Thursday&#34;, &#34;Friday&#34;], &#34;Inches&#34; : [0, 1.2, 0, 0.8, 1]}

df_rain = pd.DataFrame(rainfall)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def median_rainfall(df_rain) -&gt; 1
</code></pre>

Write a function to find the median amount of rainfall for the days on which it rained.

Rain on Rainy Days

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Tishman Speyer Interview Questions

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