Don't know how to land your first tech job?

It's not easy but it's possible

🧵This is how I did it👇

#100daysOfCode #100daysOfMLCode
It was starting my master's at university in electrical engineering.

For some reason, I decided to try to get a job as a software engineer to increase my income.

I knew how to program in Matlab & C. It was enough to pass exams but not enough to build a project from scratch.
I decided to learn the basics of Javascript, PHP, and Laravel.

I built a couple of small and simple projects (e.g. web page for my band with Laravel).

I searched for open positions in my town. I didn't meet more than 25% of the requirements for any of them.
I felt miserable but I applied to 10 of them.

I sent my CV (which was quite empty at that point) and a cover letter.

CV was the same for all applications.

I wrote a different cover letter for each position.

It took 3 days to receive the first invitation to the interview.
I went to the interview.

A guy asked me what do I now/show him.

I showed my projects and he liked them.

He asked me a bit about me and my master's studies.

I told him that I can work around 35 hours per week and still finish my exams.
He said they'll contact me if they decide for me.

After 5 days I received an email when can I start.

I must admit I was lucky.

Out of 10 applications I received 3 answers in total.

I also received 1 rejection (after 1 month) and another interview invitation (after 3 weeks).
After 1 year at the company, I asked the guy who interviewed me why did they go with me.

Answer:
* well-written email
* well-written cover letter
* done projects which I showed (although they were stupid and simple)
* confidence while talking
* honesty (knowledge, hours/week)
To sum up:

* build projects
* apply even if you don't know all the technologies
* put effort into CV and cover letter (different for each application; research company and their products)
* be honest
* be confident

• • •

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More from @jangiacomelli

1 Dec
Don't know where and how to start with ML?

#100daysOfMLCode #100daysOfCode

🧵This is my journey so far👇
1️⃣ I started with ML during my master's degree.

I decided to try to build a model of my guitar amplifier.

I started with this course:

udemy.com/course/machine…
2️⃣ After I finished it I started playing around with Keras and scikit-learn to build a model of my guitar amplifier.

It took 72 hours of recording, 250+ hours of training, and 6 months of experimenting to conclude - ML algorithms like NN won't produce anything useful.
Read 12 tweets
30 Nov
☁️ AWS is a great choice for a startup

Here are some reasons why

#100daysOfCode #100daysOfMLCode #AWS

🧵👇
1️⃣ Free tier

Most of the services offer free tier for first 12 months since registration.

There are enough free resources per month that you're able to build MVP for almost free.
2️⃣ Designed for scalability

All of their services are designed with scalability in mind.

You can scale your startup business without limits.
Read 8 tweets
24 Nov
🤷‍♂️You've learned basics of Python and you don't know what to do next?

How to go from "hello world" to real applications?

🧵 This one is for you👇

#100daysOfCode #100DaysOfMLCode #Python
1️⃣ Build expense tracker CLI app.

Each expense should have following attributes:
* title (string)
* amount (float)
* created_at (date)
* tags (list of strings)

Store expenses in TXT file.

Cover: Add expense, list expenses, get expense, edit expense, delete expense
2️⃣ Add database

Instead to storing/reading in/from TXT file start using SQLite.

Write script to copy all of the existing expenses from TXT file to database.

Don't use ORM at this point.
Read 14 tweets
23 Nov
Python is a great choice for the main backend programming language in a startup

Here are some reasons why

#100daysOfCode #100daysOfMLCode #Python #Startup

🧵👇
1️⃣ Easy to write & easy to read

It reads and writes almost like the English language. You need a small amount of code to get a job done. You'll probably rewrite it at least 3 times.
2️⃣ 1st class citizen on cloud platforms

You don't want to deal with physical servers in a startup. You just want to run your app. Python has cloud SDK libraries, it runs on serverless platforms, it's used in ML services, a lot of examples in cloud docs are using Python.
Read 7 tweets

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