What do you do if you're unemployed in data visualization and need to manage your finances?

In my experience, creating historical data of all the fixed and variable costs would help in forecasting costs and accordingly creating a budget. Non-essential spending will have to be deprioritized in the budget. If there are any current investments in stocks, you can leverage that to cater to any non-essential purchases. A substantial amount of miscellaneous expenses needs to be assessed, and all current monthly subscriptions need to be revisited.

It is very crucial to enhance skills during the period of unemployment. Keep track of trending skills that have the highest growth penetration in current market scenario. Feel free to dive into Automation (RPA), Artificial Intelligence, Machine Learning, LLM, and check out how data visualization is correlated with these trends. Create your own visualization projects, for macro-economic/micro-economic indicators for staying in touch with your current skills. Check out what skills the employee's possess who are currently at the same position as you are applying for and enroll in certification courses. This is the perfect time to dive into learning and work on visualization as well as communication skills.

In my experience networking is possible as long as there is a community of like-minded people who are actively performing the role you aspire to. This could be in a professional sense, so you network with people who have your "dream" job or in a personal sense, so you network with people with similar affinities. All in all, once you have found the community that best fits you, you have to identify a goal that suits all of you and work towards it, this way your connections will last longer

In my experience, LinkedIn has been the most preferred social networking tool to connect with individuals/organizations that have relevance to my profile. Chances are, you can find out the HR, or some 1st-level, 2nd-level, or 3rd-level connection that can refer you to the organization based on your profile. Also, look for internships (paid/unpaid) that will help you in attaining hands on job experience, thereby making it easier for you to crack interviews. It is difficult to only rely on courses, while the industry prefers experience.

In data visualization, freelancing offers a solution for managing unemployment. Build a standout portfolio, market your services online, and actively pursue relevant opportunities. Prioritize quality, nurture client relationships, and manage finances wisely. Keep learning to stay competitive. This approach can sustain income and broaden ones professional network during unemployment.

If unemployed in data visualization, prioritize financial management by creating a budget, reducing expenses, and seeking temporary income sources like freelance projects or part-time work. Utilize free resources for upskilling, networking, and job searching. Consider alternative roles that utilize similar skills. Maintain a positive mindset, stay resilient, and leverage support networks for guidance and opportunities.

One thing I've found helpful is so many freelance platforms for data visualization enthusiasts, to help clients at small-medium level. However, will always suggest you to take >50% payment in advance, otherwise freelancing could cost you more than it pays you.

In my experience, cutting costs is important but it doesn't work out always, as there are so many uncertainties in day to day life. Cutting cost is a solution as long as it is preventing you from doing any miscellaneous/non-essential expenditure. Cooking at home, using public transport can help cut over 65% cost. Start looking at the opportunity cost while making any purchase, and that will help in reducing cost.

Maintain a positive mindset: Job searching can be challenging, but staying optimistic and focused on your goals will help you persevere through this period of unemployment. Consider joining support groups or seeking guidance from career counselors to stay motivated and proactive in your job search efforts.