Documents tagged "Data Scientist"
Found 5 documents with this tag
HOUSE_OVERSIGHT_033171.txt
This document is an email exchange between Zubair Khan and Jeffrey E. about US election updates. Zubair has processed tweets related to the presidential debate and found that Clinton's popularity has increased with 62% support, while Trump has huge support in Ohio and New Jersey. Clinton is likely to win in New York, California, and Michigan.
HOUSE_OVERSIGHT_032325.txt
The email exchange discusses the results of an analysis of tweets regarding the 2016 presidential election. Zubair Khan mentions that according to their data, Trump has a higher chance of winning in the Electoral College than Clinton. Jeffrey E. questions if this is considering the popular vote or only the electoral college. They also discuss the possibility of meeting and discussing the business plan for InsightsPod, a company that analyzes social media activity related to political events.
HOUSE_OVERSIGHT_031640.txt
In an email exchange, Zubair Khan discusses a model that predicted Trump's victory in the U.S. presidential election based on social media data analysis. The project was unable to sustain itself due to financial constraints and the need for a Data Scientist. Zubair expresses interest in revisiting the idea when he has a powerful investable idea, with plans to focus on cyber security in the meantime.
HOUSE_OVERSIGHT_031521.txt
Zubair Khan, a data analyst, sent an email to Jeffrey E. after checking the report again and confirming that only Wisconsin was incorrectly predicted in the US presidential election. Zubair explained that while Clinton had a positive spike after being cleared by the FBI, Trump dominated social media positively during the last week before the election. However, their prediction of Trump becoming president was based on analyzing data from 3 days and ignoring historic data, which they failed to account for without a Data Scientist. Zubair is now focusing on cyber security and will reach out if he has a powerful investable idea.
HOUSE_OVERSIGHT_031518.txt
The document discusses the results of an analysis conducted on data from social media platforms for the US presidential election in 2016, with a focus on predicting the outcome. The analysis was done using historical data and took into account both Clinton's and Trump's performance on social media. It predicts that Trump will be the next president of the US. However, it is noted that there is an important question left unanswered regarding how much historic data must be analyzed to make accurate predictions. This could have been addressed with the help of a Data Scientist. The author concludes by mentioning their plans to focus on cyber security and reach out if they have any investable ideas.