mix of Data Analysis and Finance, so the discipline should still include finance in some way. This paper is a research paper, not a business plan. To give you more background, I work in a private equity/venture capital investment firm in Geneva which focuses on investments into disruptive technology.

This paper is mix of Data Analysis and Finance, so the discipline should still include finance in some way. This paper is a research paper, not a business plan. To give you more background, I work in a private equity/venture capital investment firm in Geneva which focuses on investments into disruptive technology. I would like to dedicate this paper on data driven investment decision in VC and how it could be automated, basically deal selection. See my thesis proposal for further information. The idea is to research on topic: Can data driven investment decision drive alpha in the deal selection process in venture capital? How could you gain an edge, what is the process, why this process, what could be the outcome, how could it be implemented, what are the criteria of the model (checking deal flow in each sector, mentions, funding, filtering major investment companies and where they are investing etc.). Note that I have access to Pitchbook (included few files as well) and this should be noted somewhere in the thesis that I have access to it and potentially if you were to do an API, that can connect to sources and actually run this investment decision filtering process then Pitchbook would be one of them, because you have virtually all the information there. Therefore, use case for Pitchbook should be mentioned in the Thesis. Crunchbase is another similar one that could be a really good source for this data driven solution, but I do not have access to it, nonetheless it should still be considered as means of accessing data on private companies. We should also answer to the questions posted above (can data driven investment decision drive alpha). If needed you can go quite technical as well, I feel comfortable in this space so feel free. Some other important metrics that can be considered in VC: valuation of private company, valuation step-up, Round they are raising (seed, pre seed, Round A, Round B… Pre-IPO), what is the dillution of equity, what is the public market doing in the same space (multiples or EBITDA multiples), their cash burn, ARR, CAC, number of employees, which country based in, are they generating revenue. Ideally you could come up with some sort of proposed solution (for example, analysis the market constantly and looks at deals done, closed and sends an update saying we should consider this this and that company because they follow our criteria) as well, and what should be monitored and how could this model or API be implemented – this is not mandatory I belive as it is a research, but see yourself, I just would like it to be as solid and actually useful as possible.
As a bottom line, I would really want this thesis to be something more meaningful and provide valuable insights and maybe even a solution we could use in the future or base ourselves off of.
Note: I have had a thorough class in Data Analysis using Python, so if you have the skillset, feel free to use it or refer to it.
Note: If you feel there is a need or could be interesting to do an interview or survey, please let me know as soon as you can. I am thinking of doing an interview with one quant trader and adding it somewhere, so you can leave some room for it. (I am might send this to you so you know how to cite it etc but it is not 100% sure yet)
Note: Always align and refer to thesis proposal that is included.
Note: please check the screenshots and word file for formatting.
Note: this investment decision should ONLY focus on private companies, not publicly traded companies. Public companies could be used as comparables though.
Note: The Graphs should be quite technical and interesting as well, certainly there could be 1-2 on the general market, funding and distribution etc etc but a bit more technical ones wouldnt hurt.
Note: It is NOT absolutely neccessary to finish in 7 days, as it is also festive season and I dont want it to be rushed, but I would say the last submission date would be around 2nd of Jan.
if you want quicker communication channel add me on whatsapp +41783467212, so I can participate more if needed.
file various interfaces and tech in VC can be used, those are documents shared with friends, should be plagiarism-proof.
Adding few very interesting links, also see thesis proposal, there are some included:

Point72 Raises $600m for AI-Assisted Private Equity Fund

https://apastyle.apa.org/instructional-aids/reference-guide.pdf
https://medium.com/hackernoon/winning-by-eating-their-own-dogs-food-83-venture-capital-firms-using-data-ai-proprietary-da92b81b85ef
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Discipline: Data Analysis