Machine Learning

How did I use Chatgt to lead my next role of data science


In the past, I wrote that the recent AI development changes Data Science Expois Loops from the view of employment manager.

I have gone through several discussions in my own. Hunting work is always stressful. Being on the other hand, I saw how much Chatgpt might guide and speed up the process of preparing interviews for data scientists.

Therefore, in this article, I will share my Chatgpt Hacks to look for work and conversations with real.


Step 0 – Create ChatGipt project

Before starting, I am very commendable creating new design EchatGPt to organize all files and conversations. Job searchs will never be a simple and quick routine – you will probably get different conversations of different positions. ChatGPT project stores everything in one independent folder and verify persistent memories in all negotiations.

By my setup, I have uploaded my continuity and backfast projects so Chatgpt can better understand my background and make appropriate recommendations.

Create ChatGpt Project and upload files (Photo by author)

My past Doc projects is a collection of my best projects can be used in my progress and negotiation, recorded in the R-star the building. Here is one example:

R (Delet): Create an Internal app based on AI using customer feedback by classification of default feedback and analysis. This is a critical tool for the PMS and the developers to set the product development road.

S (recommend): We have a scattered customer's response from 20+ data sources (NPS, CSAT, other surveys, Cx cases, product reply tool, customer feedback, etc.). Most prices but they are not shared and well-informed and effectively.

T (ask): Combining all data sources and closes the feedback loop between customer support and product groups.

A (CCation): 1. Designed for data pipeline to combine all these 20 database sources + into one source of true data. 2. Revealing Topcs and styles, tried traditional NLP models (Bert), but they took a long time and the result was not doing work. Then we switched to Openai API for the classification and summarizing – after a few speed engineering cycles, we received higher accuracy within a week (70% labeled the accuracy of 11 categories). 3. You have upgraded the default pipe to process a new answer with Opelai API daily and worked with the entity to set an internal server and the app to enable quality tool for easy access to everyone.

R (Delet): One stop of all customer feedback, placement before the roadmap prematurely. The Won Hackathon 'A love' Love Love 'and all hands of culture points shout.

When Documents are infected, I add project-level instructions to Chatgt to make my own personalized coach. Here is my wish:

I apply for scientific roles in the United States.
He is a scholar coacher who specializes on the Data Science work and preparing interviews.

Analyze my continuity, portfolio, and previous projects to fully understand my domain, skills, and technology.

Your obligations include:
1. Search support for work: Analyze job descriptions and identify experiences or posts.
2
3. Configuring a conversation: Create formal learning strategies and prepare for technical and moral conversations.
4. Funny negotiations: Make funny reality negotiations with the feedback and score.

Please save technical tone and provides effective, detailed and effective guidance.

Step 1 – Application

Analyze the descriptions of work and customize

The work market today is very competitive. Therefore, it is important to study the work description and Customize your continued rightly. Chatgpt makes this process as soon as possible.

In the sections below, I will use data science, platform and B2B Products position in Openaai. Statement – I did not apply for this position, but I heard that it would be fun to use Opelai opening to better illustrations in this article 🙂

The first step I took was to associate with the job description of the Chatgpt and ask me to help understand this passage, including its background, data charges that use key skills. If you are not sure if the role is best for your background, you can also ask ChatGPT to check it. For example, below I asked that compared two different opening from Opelai and to make recommendations.

Analyze the job description with ChatGPT (Photo by the writer)
Compare opening with chatgpt (Photo by the writer)

Once you have a good position of position and make your mind to apply, ChatGPT can renew your continuity based on the required skills. On the screen below, it produced a customized form of my resume and highlighted the best experiences. You can also add specific commands to what you want to change, and continue to meet ChatGPT.

One thing to recognize, or – I saw the clear mistakesas a sequence of returned articles under the name of my employer. Make sure you do not copy and paste everything you write in it, but read your new redirection line and correct any wrong or clear content 🙂

Customize your initiating with Chatgpt (Photo by the writer)

In the process of work program, you can also use ChatGPT to update your LinkedIn profile, edit the cover letters, and the transfer application messages.

Step 2 – Preparing Discussion

Now, let's think that your app systems get something about the help of Chatgpt. Congratulations! Time to prepare your conversations.

1. Understand the Core of Business

I don't usually have to understand directly in funny conversations. Instead, in all the positions I have negotiated, my first step in the preparation of the discussion has always been Research Business Products and Models, Consider the Important Metrics, and Available Data Science Using Cases. Chatgt can be a perfect partner to direct the brain here. Let's look at the example below:

Company study with ChatGPT (Photo by the writer)

In this case, Chatgpt issued a beautiful and detailed table, summarizing the stages of life, a product focus, key metrics, and charges for the data. That is said, I feel like it is very helpful to kill first. For example, when I prepared my Dodada talks (my current employer), I painted a mental map and asked Chatgpt to pick it up more. This method of hybrid helped me to improve my understanding and local spaces.

Brainsturtur Metrics and Data Science Use charges (Photo by the writer)

2. The repair of the product discussion

Product discussions have been very important in data science fields, especially the strong power of AI in Code. As a result, I usually spend at least 50% of my time to prepare questions here. ChatGPt can help you find and create special sample cases and conduct funny conversations with you.

On the screen below, I simply define regular topics in the product case all about the examples of the question. Questions for communications society well followed a good pattern, while it is in line with the business environment for this planat and B2B Products DS role.

Design Query generation for Chatgpt (Photo by the writer)

Through these important things for questions, the next, you can run a funny conversation with Chatgpt. A funny conversation can be the most expensive service. For example, the datainterview charger for $ 247 at one hour of a mocking at one hour, as well as the registration of the Premium of Interviewquery, including Mock chat service, cost $ 79 per month. Of course, practice real people there are its benefits, but Chatgpt is free (assuming that you have already been subscriber) and customize your background!

I would like to practice the actual time in voice mode to imitate the original interview – I asked Chatgpt to work as a negotiator, examining my answers and asking tracking questions. Below is my mock chat screen when I prepare for the Doordash OSIRDASI.

Mock Interview in ChatGpt Voice Mode (Photo by the writer)

3. Repair of Code of Conduct

Chatgpt is equally powerful in behavioral rounds. Besides conducting funny conversations, it can compare your back projects in the topic topics, such as managing conflicts, leadership, effective interaction, and cooperation of cool newsletriary.

Adjusting of the Code of Conduct and ChatGPT (Photo by the writer)

4. Create a preparation plan

Chatgpt is known as a good seer for planning. Seeing everything can do above, you can give your time line and focus areas to get a concrete preparation program and checklist every day.

Chatgett creates a preparation program for conversations (Photo by the writer)

Step 3 – After negotiations: Give exploring and negotiations

The final phase of the functional setting process is the offer spelling and discussion. I know you are very happy to get the offer, but don't just accept that. According to the study,73% of US employers say they are open to a wage negotiated in first offer, but 55% of the nominees do not ask a lot. As a data technician, I'm sure you understand the ability to combine – even the balanced bravery over time by increasing, bonuses, and equality.

ChatGPt can help you research the same research in the industry, compare compensation packages, DRAFT repetitions, and prepare for interview documents.


The last thoughts

The search process may feel amazing, but the tools like Chatgpt will respond to a funcap. To me, Chatgpt worked as my work coach, helping me to stay organized, working well and confident.

Here are some important ways:

  • Before starting: Use the ChatGPT project to combine your job search items and context. Enter your restart projects and past projects so ChatGPT can correct.
  • Job application: Allow Chassgpt to analyze work descriptions and customize your continued. Don't skip a person update – the truth always check your content.
  • Configuring the Conversion: Collect business metrics and data science Use ChatGPT charges and make funny conversations using voice chats to simulate mode.
  • Provide examination: Ask the Chatgt research for the offer compared to negotiation strategies.

If you think or interpersonize the hunting, I hope my tips help you to fully use these tools at AI always and work your work!

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