Himanshu🌻 Profile picture
Jan 7 6 tweets 2 min read
3 reasons why Data professionals' will survive the recession ✌

-- short thread 🧵
1/ Business's competitiveness

They have a unique set of skills that are in high demand.

Businesses that want to stay competitive in a challenging economic environment must possess these skills.

Examples include data analysis, machine learning, and visualization.
2/ Up-to-Date Professionals

A professional who is up-to-date with the latest technologies and

techniques are always in demand in data science.

As a result, data professionals who continue to

Learning and staying up to date will be better
positioned to weather a recession.
3/ Cost Cutting by Businesses

In a recession, when many companies are trying to cut expenses,

data professionals often have the advantage of working remotely.

Despite financial challenges,

data professionals can still earn an income and continue working.
Even if layoffs got you, here is what you should do and keep in mind:

➡ Update your Skillset:

➡ Don’t be afraid of new opportunities

➡ Build a strong network

➡ Show mental toughness and Stay Positive

➡ Be proactive

#business #data #opportunities #datascience #layoff
That's a wrap!
Are you interested in these topics:

Python🐍
Machine Learning🤖
Data Science🥼
Data Engineering🧑‍💻
Computer Vision🖥️
NLP🤍
Business Problems🚀

Follow @hemansnation and get amazing content in the data field.

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More from @hemansnation

Jan 5
Starting a Data Science ML FullStack Transition Course🚀
For professionals targeting these positions:

Machine Learning Engineer,
Data Scientist,
Data Engineer,
MLOps Engineer,
NLP Engineer,
Computer Vision Engineer,
Data Analyst,
Business Analyst,
Data Visualization Expert.
Course Curriculum 🔰

1. Python‌ ‌Programming‌ ‌and‌ ‌Logic‌ ‌Building‌
2. Data‌ ‌Structure‌ ‌&‌ ‌Algorithms‌
3. Pandas‌ ‌Numpy‌ ‌Matplotlib‌
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Dec 7, 2022
24 Remote job portals for data science, machine learning, and tech jobs

-- Thread --
Read 7 tweets
Aug 11, 2022
Little-known ways to land your first data science job as a fresher.

🧵
Getting into a company is difficult for a fresher in AI because

it is a research field and companies prefer people with experience.

Do not be demotivated by this,

Here is the actionable approach to it:
1/n
Be specific

As this is a huge field,

do not give yourself the tag of Data Scientist;

instead, create your own niche like

being a Data Engineer, Computer Vision Engineer, NLP Engineer, etc.
Read 14 tweets

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