Internship Role Interview

Can you describe a project where you utilized Python or R for data analysis or coding?

Yes I do have a lot of experience with Python recently I guess one of my projects is with a Bitcoin trading bot that I've designed with lstm neural networks for machine learning analysis basically the way it works I took a bunch of historical data pulled it from Yahoo finance and finance using API and first we pre-posed pre-process the data normalised and scaled it to be fed into the machine learning training model and then yeah obviously use Python as the main coating language this resulted in a final product that was able to successfully live trade and gives signals based on price data

Your answer provides a solid overview of a relevant project in the context of finance data analytics, showcasing your experience with Python and machine learning. You effectively mention key aspects such as data acquisition, preprocessing, and model training, which are crucial elements in data analysis and analytics. However, your response could be improved with a bit more structure and detail.

Here are some points for improvement:

1. Structure: Start with a brief introduction of the project, then describe the problem you aimed to solve, the methods you used, and finally, the outcome.

2. Technical Details: Although you mention LSTM neural networks, giving a brief explanation of why you chose that approach would add depth. Also, consider highlighting any challenges you faced and how you overcame them.

3. Results: Mention any measurable outcomes from your project, such as performance metrics or improvements compared to previous methods.

4. Relevance: Clarify how this experience is relevant to the internship role you're applying for and how it has prepared you for the tasks you would face.

Overall, while your answer demonstrates practical experience and familiarity with relevant tools, enhancing clarity and detail will make it more impactful.

Rating: 3.5/5

What experience do you have with APIs, and can you give an example of a project where you used REST APIs?

Yeah I do have quite a bit of experience with apis and http requests one of my recent projects that I've already talked about a little bit was the python trading bot with bitcoin it pulled financial data from finance and from Yahoo finance apis and pulled it into my program which was then years for data cleaning and processing I've also worked a little bit with a gas API which is was a little bit of a fun one it was a Formula One API that fetched race data driving data yeah all sorts of different data sets online and pulled them in so that was another instance of myself using rest apis in a project

Your answer does provide a good overview of your experience with APIs and includes examples of your projects, which is essential in an interview setting. However, there are areas where you can enhance clarity and depth.

Evaluation:
1. Clarity: While you've mentioned the APIs you've used, your explanation could benefit from more structure. Breaking your answer into clear parts—what you did, how you did it, and the outcome—would make it easier to follow.

2. Details: Providing specifics about the technologies you used (like the programming libraries or frameworks), the purpose of your projects, and any achievements (e.g., results from your trading bot) would add more weight to your answer.

3. Technical Understanding: It would strengthen your response to briefly discuss the REST API principles (like statelessness, resource-based URLs) and how these apply to your projects. Highlighting your understanding of these concepts shows a deeper level of expertise.

How to Improve:
- Start with a clear definition of what an API is, and briefly mention the role of REST APIs in your projects.
- Outline a specific project first, such as the trading bot. Explain the problem it solved, the data you pulled, and what techniques you employed for data cleaning and processing.
- Describe the Formula One API project similarly, focusing on the technical aspects, challenges faced, and outcomes.
- Wrap up with any insights gained or how these experiences have prepared you for the internship role.

Rating: 3/5
Your answer demonstrates relevant experience but lacks organization and depth in explaining your projects. Enhancing these aspects will make you stand out more effectively in future interviews.

How comfortable are you with cloud storage solutions such as AWS S3 and Azure blob storage?

Yeah I would say that I'm fairly comfortable with with cloud storage solutions I've already got some experience with AWS S3 I've used it in one of my projects that was called Hobby Lobby in that project I stored images and multimedia in the cloud using AWS using the keys secret key and and API keys to do so I also do have experience with you are although pretty sort of rudimentary understanding I definitely pick up those sort of things fairly quickly and and yeah I'm definitely comfortable doing cloud storage

Your answer demonstrates a good foundation in cloud storage solutions, particularly AWS S3, and presents relevant experience. However, there are areas for improvement, both in clarity and depth.

Strengths:
1. Personal Experience: You mention a specific project, "Hobby Lobby," which shows practical application of your skills.
2. Tools Mentioned: Referencing the use of secret keys and API keys indicates familiarity with security protocols essential for utilizing cloud services.

Areas for Improvement:
1. Clarity and Structure: The response could benefit from clearer articulation. Try breaking it into distinct parts: your comfort level, specific experiences, and how quickly you learn new tools.
2. Broader Understanding: While you mention familiarity with Azure blob storage, elaborating on that, even if brief, would show a well-rounded skill set in cloud solutions.
3. Technical Details: Adding specific use cases or benefits of using AWS S3 and Azure could exhibit a deeper understanding of why these tools are essential in finance data analytics.

Revised Example Answer:
"I am fairly comfortable with cloud storage solutions, particularly AWS S3, which I used in a project called Hobby Lobby. In this project, I stored images and multimedia using AWS, managing access with secret keys and API keys. While I have a rudimentary understanding of Azure blob storage, I'm quick to learn and adapt to new technologies as needed. I appreciate the scalability and security features of cloud storage, especially in handling finance data analytics."

Rating: 3.5/5. This reflects your foundational knowledge and readiness to learn, but lacks depth and structure. With more detail and clarity, you could effectively communicate your expertise.