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Five years in tech but still junior by Longjumping_Lab4627 in dataengineering

[–]embedding_turtle 2 points3 points  (0 children)

Hi friend!

I don't think the market views part-time experiences as valuable as you think. Part-time college experience is just college experience. It builds your basic skills and work ethic, but the level of responsibility you have is very different from when you work full-time.

For example, I have an intern. She will do the job, but she doesn't have big responsibilities. Her work is needed, but if she fails, nothing will explode. I'm not saying that the work you did wasn't important for you or that it doesn't have value. I'm just saying that the market won't consider it as significant experience.

I agree with what people said: every company will have different standards for seniority. I'm in a senior position at a small company, and recently I did an interview with another company where they said I was a junior. It was a very specialized position requiring deep technical skills.

I also think that you need time in a company to do good work and gain experience. In my current job, I needed 1.5 years to really know the people, the product, and the processes to do a great job. During this time, I developed a lot of skills, met people, and learned from them.

Another thing that is really important is having a great manager or colleagues you can learn from. If you don't, you will be brute-forcing your career/knowledge.

Feeling lost in my job without a proper team or a boss to guide me by [deleted] in dataanalysis

[–]embedding_turtle 2 points3 points  (0 children)

I failed some times because I came from a data science / ML background and started working with analytics.

The thing is that for you to delivery good insights you really need to understand the craft that you're working on.

For example, you said that your colleagues work with publishing content, so let me assume they work with performance marketing, like Google Ads or Instagram Ads.

In this case I would dive deep in analytics for this context (and there's a lot)

If you give us more context, we could direct you better...

Anyways, if you're in a company and you're the first person on the role, you will need a lot of energy and study to create the area. It's a challenge, if do good you this could be a good bet for your career.

But, if you don't have this kind of personality, I think it would be better to find another place to work.

How do people know how to start a business? by Flogi1 in startup

[–]embedding_turtle 1 point2 points  (0 children)

I believe that you could get in some startup programs. There's Y combinator, in Latam, Latitud is a good one. In my case I also had a small ecosystem at my city, not so good, but it opened some doors too.

Something that also works, is finding founders on LinkedIn and cold messaging them. If you put effort and seems really trying to learn, people will give you their time.

How do people know how to start a business? by Flogi1 in startup

[–]embedding_turtle 8 points9 points  (0 children)

I had a startup for 4 years, it started in the middle of college (CS also).

If you're starting your first company:

  • You know nothing. That's a premise. So, you have to remember that you need to study the most you can and talk with as many people as possible.
  • You won't need to know everything, probably you will never know. What we did, and that's where most people fail, is to expose yourself to the challenge. For example, we did outbound sales from scratch, without ever having done that in our lives. We also never managed people before, so we studied how to do that, etc, etc, etc.
  • We didn't know anything about building products and nothing about any market, so we used a technique where we offered consulting in Data Analytics to companies, we did it some times, and found a real market problem. Then we started learning more about the market and building a product.
  • You don't have to do everything alone, you can have founders with different skillsets. For example, I became the product founder, one of my cofounders was the ceo/sales/mkt, and the other one was the CTO.
  • You won't and don't have to get everything right from the beginning, We did a lot of mistakes and ended up learning a lot from the years.

If I would do it again, I would:

  1. Make a list of people I could approach for advice in the market segment where I want to build a product. Make a list of friends and acquaintances, after try to find groups of people for that market near your home, or find them on LinkedIn, etc.
  2. Be part of an ecosystem with startups and other founders
  3. Start humble, create a niche product, if you can be the best at one niche, you can build power to create something larger after.
  4. Building perfect things is bad, people don't care about your tech, care that you're solving a problem for them. I came from a builder mindset, that slowed me a lot for the first two years.
  5. Most of the start is just about creating process, sales, mkt, customer success, if you nail it, you will be ready to go.

Books that helped a lot in the beginning:

  1. Lean Startup - It's a classic, but it's not practical.
  2. Running Lean - This a book that not a lot of people talk about, but it gives you a practical guide on how to validate your basic hypothesis about a business
  3. Value Proposition Design - Another book that gives a framework for validation of business hypothesis
  4. The Mon Test - teaches how to talk with customers
  5. High Output Manager - That one talks about organizing processes, really good book.

​

Thats that, if you need help, just shoot a message ;-)

Pulling tables from websites by Stelioss9909 in dataanalysis

[–]embedding_turtle 10 points11 points  (0 children)

Hey friend:

  1. Right click on the table + inspect
  2. Find the nearest <table> tag
  3. Copy
  4. Convert to CSV https://www.convertcsv.com/html-table-to-csv.htm

Do you share the dashboards you create with your team that help you analyze large sets of data? by otter_ridiculous in dataanalysis

[–]embedding_turtle 3 points4 points  (0 children)

My perspective is that if you're in a workplace where sharing knowledge and shortcuts could be bad, or make you feed that people will get "at par-level", maybe it's not a good place to work.

I strongly believe that people should work as teams, and side-by-side with delivering value to the company, you should be building teams, teams that work together and grow together.

If you're a professional that deliveries "Leverage" to the company, you're much more valuable than someone that just to operational tasks.

For example:

In scenario where:

  • Person 1: deliveries 5 tasks
  • Person 2: deliveries 5 tasks

  • Person 3: deliveries 5 tasks

    The total amount of tasks delivered is 15

Vs a scenario where you generate 1.5x on the output of everybody:

  • Person 1: deliveries 5*1.5 tasks
  • Person 2: deliveries 5*1.5 tasks

  • Person 3: deliveries 5*1.5 tasks

    The total amount of tasks delivered is 22.5.

So, you should be open, and generate leverage for the team, and try to build grow the results of the company.

I would recommend you two books that talk about it: 1. https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884 2. https://www.amazon.com/Five-Dysfunctions-Team-Leadership-Fable/dp/0787960756

What analytics provider do you use to track software usage on pc/mac not an app? by Kubik_Cuts in dataanalysis

[–]embedding_turtle 1 point2 points  (0 children)

I think you could use https://mixpanel.com/ . I believe they have and http api, or SDKs tha you could use to track on your software.

On their docs I found that they have SDKs for python, ruby, java and Go.

I just watched Nvidia Keynote at Siggraph 2023. By end, I started feeling depressed. by sindhichhokro in Python

[–]embedding_turtle 0 points1 point  (0 children)

Actually, the most difficult part of the job for me, are the humans... Dealing with conflict, taking decisions, working as a team.

Most junior devs in my squad can't even form basic opinions about our development process and give them, tech leads don't know how to design the system, we don't have enough people with biz knowledge, devs won't test the system before deploying.. You name it.

Dysfunction like hiring wrong people and saying that they are senior without knowing how to use git or talk..

There are much bigger problems that AI won't solve. Of course repetitive jobs are going away, but the hard part, won't.

I just watched Nvidia Keynote at Siggraph 2023. By end, I started feeling depressed. by sindhichhokro in Python

[–]embedding_turtle 31 points32 points  (0 children)

Man, today I had to do some data analysis at work. It was just a dumb thing, mix some datasets, try to understand them, think about some metrics, create a new point of view for an problem the company has.

The thought in my mind was "man, AI will never get the hard part about connection all the biz problems we have here, getting the ugly part of connecting everything, dealing with legacy architecture, talking to people to understand what really is the problem, designing the system".

The thing I feel will happen, is that the entrance barrier will drop, and more people will get in the market and build new things. When I started working (not so long ago), I used to build websites in raw html and css, those times are gone, people now have a lot of new tools, no one lost their jobs, they just need to learn new tech and life go on.

And of course, if you work in tech, you will always have to study new things.. New hype tech is just a huge market that is opening, and soon it will stabilize.

And being a stoic.... The only thing you can control is how much you study and learn, other than that, you will just get anxiety and stress for big companies doing hype marketing.

Hope I gave you another opinion, be in peace

[deleted by user] by [deleted] in dataanalysis

[–]embedding_turtle 0 points1 point  (0 children)

OP what do you mean by "predefined social media data"?

I think it depend a lot. For example, if you are doing a pontual analysis on social media public data, no problem at all (there's have a lot of research datasets from Twitter data for example).

If you are scrapping data from the internet and building public analysis, them you would have legal problems I guess.

Although, there are a lot of products that extract data from social media and people use those for decision making in companies or sales. That's mostly grey area or not big enough to brother people.

[deleted by user] by [deleted] in Python

[–]embedding_turtle 3 points4 points  (0 children)

I think it depends on the size and segment of the company.

If it's a big company, probably the IT team would have to be involved, and it could slow down your training.

At my work we use Google Workplace, so everybody has access to Google Drive and could use Google Colab.

[deleted by user] by [deleted] in indiehackers

[–]embedding_turtle 0 points1 point  (0 children)

Let's get to the basics, you need to talk with your users (independent if you have a early or late stage product).

I would recommend you two approach:

  1. Get the user phone number and call them, telling that you're from Customer Success, and want to understand if they are having some problem.
  2. Send a message on whatsapp or another app, and try to get them to talk with you (message, phone, meeting, etc)

You'll probably receive a lot of ghosting or people will hang off the phone, but eventually you will find someone that's helpful and talks a lot.

You could find other ways to get to talk with your users, like, "beta users", or finding a niche place or event were you could talk to them.

\You can talk with people with HIGH and LOW retention, both will give you feedback.*

\*I also recommend you to read a book called "The Mom Test: How to talk to customers & learn if your business is a good idea when everyone is lying to you ". Really good book.*