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Pages:
2 pages/β‰ˆ550 words
Sources:
2 Sources
Style:
Other
Subject:
Creative Writing
Type:
Other (Not Listed)
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 7.2
Topic:

Real World Application of Analytical and Creative Problem-solving Skills

Other (Not Listed) Instructions:

Prompt:
Business analytics requires a combination of mathematical/quantitative abilities and creative thinking. Describe a project you worked on, either as a student or professional, that demonstrates your analytical and creative problem-solving skills. Tell us why this project was interesting to you.
Requirements:
Please write 550-600 words for this essay. I will provide information about the project I did as attachments. PDF document includes all contents of the project, and docx document has the description of my role and overview of the project. Thanks.

Other (Not Listed) Sample Content Preview:
With rigorous studies in computer programming and quantitative abilities, I am well-prepared to utilize my abilities in real-world application. Being a quantitative summer analyst in China Asset Management Co. Ltd, I was able to use the combination of mathematical abilities and creative thinking skills. Through the application of these skills, I was able to develop new solutions new solutions and perform tasks that require to be solved mathematically. These two talents were portrayed when I established two stock trading strategies with different characteristics. I was able to research their returns by screening out targets stocks by each model and using a single exponential moving technique, low latency trending line of or market time, and conducted a thorough analysis of the return characteristic of each model.
In addition, I led a team of three to complete replays of two multi-factor stock selection models, coding, and testing. I mastered the use of jointQuant quantitative trading forum that involves using data-based models to determine the chances of specific outcomes from happening, depicting my ability to solve problems creatively. We had a complete model that conducted quantitative trading using historical stock market data within two weeks. The win rate of our high-dividend model is 66.7%, which is very close to the securities model's 67%. Lastly, I collated reviews and back tests of two models with the team into a report and submitted it to the department manager.
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