Mehak Sagar: Taking the Wedding Industry by Storm

September 6, 20213 Minutes
Success Stories

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How A Young Woman Converted A Problem She Faced Into A New Career!

Mehak Sagar is a postgraduate from the Delhi School of Economics. After she completed her studies, she worked for a financial services company American Express in Gurgaon. But she also had a creative side that loved everything about the beauty and fashion industry.

To explore this passion, she started her blog called Peaches & Blush. This was just the beginning of Mehak's journey to changing her career path completely.

Facing Challenges While Planning Her Own Wedding Was The Foundation For Her Success Later

Peaches & Blush was a beauty and fashion blog that Mehak did as a hobby. She wrote content on her blog alongside her job as a data modeller at American Express.

At that time, she had no plans of having her own wedding planning company. She was at a stage in life where she was planning her own wedding and was new to the city of Hyderabad.

She had a very difficult time finding a wedding venue, photographer, or makeup artist in the city. She wrote about all the difficulties she faced to plan her wedding in a new city on her blog.

She Converted The Problem Into An Opportunity

Many people started reading it, and she got a huge following on her blog for this story. This got her thinking. She researched on the internet and found that there are very few online platforms in India that help brides plan their weddings.

Where many people would find a problem, Mehak found a business opportunity! She decided to create a company that helps anyone getting married find photographers, venues, makeup artists, cakes, wedding entertainment, and much more with ease.

When Mehak started WedMeGood, she left her full-time job and didn't have sufficient knowledge about how to run a company.

She had to learn everything about social media and digital marketing so that she could run her company. This was a completely new field for her, but she learned everything from the ground level.

The Start Was Difficult, But Soon She Saw Success

In the beginning, Mehak struggled with understanding technology. But after a few years, she built her tech team that helps with keeping her website up and running. She started the company in 2014, and every year she learned something new.

Today, her 8-year-old company is no longer just a startup. WedMeGood has an app with more than 1 million users who have downloaded and used the app. Her website is also one of the leading websites on which Indians go to plan their beautiful weddings.

Mehak's company makes sure that Indian brides no longer have to struggle to plan their weddings. Her beautiful creation, WedMeGood, is a true gift to anyone planning a wedding all because she believed in her idea!

Mehak was an economics student who decided to try succeeding in another field. It is quite natural to be nervous when one does not have enough professional knowledge or experience. But Mehak did not let that affect her. Instead, she decided to convert a challenge into an opportunity and learn something new.

Today there are many girls like Mehak who wish to do something different and seek knowledge in a field that is different from their graduation or post graduation. There are many free online courses for such girls. These courses help them learn different things in addition to what they have studied in their college.

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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. <br /> <br /> <br /> <br /> 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. <br /> <br /> 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. <br /> <br /> 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. <br /> <br /> 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. <br /> <br /> 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 courses](https://www.glowandlovelycareers.in/en/online-courses)about many of them at Glow \& Lovely Careers (formerly known as Fair \& Lovely Career Foundation).