This International Women’s Day, Take Inspiration from Krishna Chaurasiya, Who Created Her Identity through a Career in Sales

March 9, 20214 Minutes Read
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As a young girl, you may have dreamt of becoming a doctor, engineer, teacher, astronaut, or artist. Aspiring to become a sales professional is not at the top of the list for most young girls due to several reasons. A few of them could be the amount of work stress in sales roles or even the uncertainty of landing a sales job among the male competition out there. Yet, sales are one of the highest-paying professions and Glow & Lovely Careers believes that girls are well suited for these lucrative careers.

The sales profession has many negative perceptions attached to it. Many people believe sales is too physically tiring for girls, there's too much travel involved, the conditions are too rough or unsafe for girls. These reasons were not daunting enough for Krishna Chaurasiya to shy away from this challenging profession.

If you are a young woman who is on the fence about making your profession in sales, read the inspiring and successful journey of Krishna Chaurasiya who jump-started her career forward despite the competition and challenges.

1. Would you like to tell us where are you from, what is your family background and educational background?

I am a resident of village Biloua, district Gwalior. I was born on 2, June 1993. We are a family of seven individuals, and being the eldest one, I feel I hold the major chunk of responsibilities for my family. I am a postgraduate in psychology from Jiwaji University.

2. What is your inspiration behind choosing your career in Sales?

Women are great in sales, especially referral sales. But many of us have not explored it. The truth is that our brain is hard-wired differently than men. I have always been good at making time to build trusted, strong, and long-lasting business relationships. Thus, the sales profession always attracted me and I hold pride in being a sales representative.

3. How did you get guidance on your dream career?

Online resources have played a major role in guiding me. I started my career as a sales promoter in Big Bazaar, and that is when I explored and trusted this profession and realized it is for me! Every aspiring girl should try out sales roles, get career guidance and try online courses in sales and marketing to really understand the field.

4. What are the common hurdles you faced during your career?

The amount of work pressure, interaction with so many people, and the dynamics of the job get a little overwhelming at times. However, my passion and determination for the sales profession were so strong that no obstacle could shake my journey.

5. What motivated you to choose this career path?

It was a matter of pride for me to make my career in sales and my need is to constantly learn and evolve with everything that the profession has to offer.

6. What are the challenges you faced during your career, for example, family opposition or financial hurdles, and how did you overcome the same?

My family has always been supportive. I never faced any family opposition; in fact, I got a lot of help from my parents and siblings. However, there were a few financial constraints at the beginning of my journey, which slowly got ironed out as I progressed in my career.

7. What are the actions you have taken independently to pave your path to progress?

If you are honest with yourself and your career, progress is certain.

8. Can you tell us the best and the most challenging part of your job?

Both the best, as well as the challenging part of the job is to ACHIEVE your TARGET.

9. Do you think that the internet is a good platform to take up online sales courses to boost your career in sales?

Yes, the internet is a good platform to take up online sales courses. Today there is no shortage of online learning courses for women and guidance on the internet and other social platforms. The best part is that these courses are usually free so someone who doesn't know what sales or marketing is about, can easily understand the basics for free.

10. Would you like to share something about your professional stint at HUL?

During my tenure with the HUL family, I received a lot of support from all the higher officials and colleagues, which is amazing. I feel lucky.

11. Do you think there are enough women in the senior management posts in the sales sector?

There are a lot of challenges when it comes to women working in the sales sector. There is a smaller number of women in the senior management posts in the sales sector in general. Many young women have not thought about the advantages and bright sides of this profession. I suggest young women talk to their friends who are in sales to really understand the positives and negatives of these jobs.

Glow & Lovely Careers and Hindustan Unilever Limited believe that women are well suited for roles in sales and marketing. They have the brains, the ability to negotiate and communicate, and the determination to succeed.

If you're inspired by Krishna's story and want to learn about an opportunity for women in sales- Read about the Marketing Executive program at this link

To read more success stories of women achievers, click here.

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Career In Machine Learning

Machine Learning is the use of Artificial Intelligence to let machines learn how to do a task without being programmed to do that task specifically. (In short, machines learn on their own without any help from people!) This process starts with giving them good-quality data. The data is then used to build different machine-learning models and algorithms, which are used to train the machines. The type of data we have and the type of task we want to automate will determine which algorithms we use. Now that we know the basics of Machine Learning, let's look at how this knowledge can be used to build a career.

Machine Learning is very popular because it saves people a lot of work and makes machines work better by letting them learn independently. Because of this, there are many popular and well-paying jobs in Machine Learning, like Machine Learning Engineer, Data Scientist, NLP Scientist, etc.

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  1. ** Data Scientist:** A Data Scientist uses advanced analytics tools, such as Machine Learning and Predictive Modeling, to collect, analyse, and make sense of a lot of data in order to get insights that can be used to make decisions. The executives of the company then use these to decide how to run the business.
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  1. **Machine Learning Engineer: **A Machine Learning Engineer is an engineer who uses programming languages like Python, Java, Scala, etc., along with the right machine learning libraries to run different machine learning experiments.
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  1. ** NLP Scientist:** "NLP" stands for "natural language processing," which is the process of making machines understand how people talk. This means that one day, machines will be able to talk to people in their own language. An NLP Scientist's job is to help make a machine that can learn how people talk and translate what they say into other languages.
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  1. Business Intelligence Developer: A Business Intelligence Developer uses Data Analytics and Machine Learning to collect, analyse, and make sense of large amounts of data. They then turn this information into actionable insights that company executives can use to make business decisions. In simpler terms, it means using data to help businesses make better decisions.
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  1. **Human-Centered Machine Learning Designer: **Human-Centered Machine Learning is about Machine Learning algorithms based on people. Video rental services like Netflix are a good example of this. They let their customers choose movies based on what they like, giving them a "smart" viewing experience. This means that a Human-Centered Machine Learning Designer builds different systems that can use information processing and pattern recognition to do Human-Centered Machine Learning. This lets the machine "learn" each person's preferences without having to use complicated programmes that have to be adjusted by hand for every possible user scenario.

    All of the above five careers require some serious skills. These include Programming, Probability, Statistics, Data Modeling, Machine Learning Algorithms, System Design, etc. You can find free coursesabout many of them at Glow & Lovely Careers (formerly known as Fair & Lovely Career Foundation).