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Test Engineer to Data Science: Career Switch

Test Engineer to Data Science: Career Switch

My Journey: From Test Engineer to Data Science

Correct Guidance is the key to a successful Career Switch. That’s how I was able to cover the journey of Test Engineer to Data Science.

Megha Kansal

Background

Education: B Tech IT

Previous Profile  >>> Current Profile

Profile: Test Engineer
Designation: Test Lead
Experience: 3 years

Profile: Data Scientist
Designation: Manager – Data Science

My journey into Data Science

Why Data Science?

Frankly, I started finding my job a bit monotonous. Testing was a lucrative career a few years back, but with new technologies coming in, I wanted to explore the possibility of upskilling and switching careers. I spoke to friends and researched a bit about Data Science. Since I was not from a coding background, I really worried whether I could learn to code efficiently. I tried to understand R and Python on my own. There were 2 things I found out: the languages are basically plain English, easy to understand, and I will definitely need guidance because Data Science is much more than just learning a language.

Why Dimensionless?

I had enquired in a lot of institutes. While the curriculum and other offerings were perfect, there was one particular detail for which I was convinced to join Dimensionless. I did not want to learn with 40-50 other people in a class, where the teacher hardly has any time to interact or resolve doubts. There was one institute which said that they have around 120 people in one batch! Dimensionless promised to not have more than 20 people in one batch! 

Also, when I spoke to one of the mentors, he carefully studied my background and made me understand my career transition path in the first call itself. It gave me the confidence to finally pursue Data Science. I enrolled with Dimensionless for their next batch.

Experience with Dimensionless?

Really good. The classes were very interactive. Teachers ensured that everyone participated in the class. They would ask us to answer in individually and explain patiently whenever we were wrong or were confused. It hardly felt like a virtual classroom. Mentors were always available to have a word or discuss any doubts we had.

Career Transition to Data Science

For cracking interviews in Data Science, or any Tech, it is essential you have hands-on knowledge. To practice on real-time projects, I started practising Data Science techniques I had learnt in Dimensionless in my then-current project. Another thing that helped was the Resume Upgrading sessions and Case Studies given by Dimensionless.

I got a lot of exposure and confidence for interviews. Almost 5-6 job openings were shared every day by the Dimensionless Team. It took me some time but I finally started hearing back from good companies. I got offers from SpectraMedix, Genpact and Excel. My current company wanted to retain me and they offered me an internal transfer. That’s where my Data Science journey began.

My actual Data Science journey began the day I decided to switch careers and enrolled with Dimensionless.

There are many more like Megha who switched to Data Science from different domains. Read their success stories here.

Want to know whether such a Career Transition is possible for you?
Follow this link, and make it possible with Dimensionless Techademy!

Furthermore, if you want to read more about data science, you can read our blogs here.

Data Engineer to Data Scientist : Career Switch

Data Engineer to Data Scientist : Career Switch

Success Story: Switching from Data Engineer to Data Scientist

I believe anyone with patience, passion and guidance can learn Data Science.

– Kranthi Bandi

Background

Education: M. Tech Mobile and Satellite Communications

Previous Profile  >>> Current Profile
Designation: 
Profile: Data Engineer
Domain: Enterprise Software
Experience: 3 years

Designation: 
Profile: Data Scientist
Domain: Enterprise Software

My journey into Data Science

Why Data Science?

Being a Data Engineer, I always felt like I belonged to the field of Data. I could see how the tech was moving. All the businesses are becoming Data-oriented and automation is the need of the hour. Once Cloud Technology is stable, Artificial Intelligence is going to dominate the trend. During my Masters, I had Statistics as a subject and used it heavily in a project. My Masters’ thesis was with MATLAB, using concepts and fundamentals of Data Science.

So, I was sure of getting into Data Science. 

Why Dimensionless?

While looking for a program, the only challenge was finding a class with a well-balanced curriculum. I tried understanding the curriculum of a lot of classes, some of them had a very high-level curriculum while others were not covering any relevant knowledge. Also, I did not want to go to any well-known classes because teachers aren’t able to give personalized attention.

Since this is a serious subject, the only way I could be sure about any course would be if a credible source vouched for it. A friend (an ex-student of Dimensionless) strongly recommended the Data Science course from Dimensionless. Their curriculum was balanced for anyone who wanted to start in Data Science. In fact, the first demo I attended was on Statistics. It is essential to start with Statistics and Mathematics to grasp Data Science fully.

If you see the progression, going from being a Data Engineer to being Data Scientist was an obvious step forward.

Experience with Dimensionless?

Good course structure and in-depth teaching were 2 key factors that impressed me at Dimensionless. Learning Data Science takes time and effort from both the teacher and the students. We got that at Dimensionless. 

Also, people coming from a Data background are usually weak at programming. The teachers made it easy for us to understand and learn Python. 

The teachers covered a lot of ground for all the subjects and they were always available for clearing our doubts. I was satisfied with the course structure and the teaching method.

Career Transition to Data Science

Luckily, in my previous company, they were building an AI team and testing various projects. At the end of the course, I got support from Dimensionless to prepare with Mock Interviews.

I applied to be a part of the AI Team at my company and got selected through a written test and interview. The exposure was immense. I got to work on multiple projects from scratch. We discussed Use Cases and projects in-depth, covering even the business aspects of it. 

After that, I knew I could comfortably face any Data Science or AI interview. 

Now, if anyone asks me how much time it takes to become a Data Scientist, I first ask them “How dedicated are you?”.

 

There are many more like Kranthi who have switched to Data Science from different domains. Read their success stories here.

Want to know whether such a Career Transition is possible for you?
Follow this link, and make it possible with Dimensionless Techademy!

Furthermore, if you want to read more about data science, you can read our blogs here.

 

MBA to Data Science: Career Transition

MBA to Data Science: Career Transition

Career Jump from MBA to Data Science Success Story

Knowledge is what matters the most in the industry.

– Karthik Sripati

Background

Education: Masters in Business Administration

Previous Profile  >>> Current Profile
Company: Amazon State Street Syntel
Profile: Operations
Designation: Deputy Manager
Domain: BFSI
Experience: 2.2 years
Company: Google
Profile: Data Analysis
Designation: Deputy Manager
Domain: KPO (IT) Software

My journey into Data Science

Why Data Science?

During my MBA days, or even when I was working at Amazon State Street Syntel, I kept hearing about AI & Data Science and the new projects that were coming up. Everyone always got excited when they spoke about Data Science. I was always good at Maths. Coming from a background of Business Studies, data crunching and data analysis always fascinated me. I wanted to have a holistic point of view of the business trends and future forecasting.

I understood that Data Science focuses on Problem Solving, Analytical Skills and Domain Knowledge. In my job also, I was working on Reporting and business analysis. So, that’s where my liking to Data Science began.

Why Dimensionless?

I did a lot of research to find the perfect classes. I checked their reviews and contacted a couple of students who had done their course to be doubly sure and they all verified that the teachers would deep dive into the subjects and give individual attention to all students.

After a discussion based on my profile with the mentors, I was able to get beyond my fears of programming.

In the Demo sessions, I liked their teaching method and the teacher’s knowledge. And, that’s what mattered the most for me.

Experience with Dimensionless?

I was never into any technical role, never even had any technical subjects. Really, I didn’t know how I was going to cope with the coding bit. It was difficult at the start. The classes progressed and I found it easier to understand Python and Machine Learning. By the end of the course, I got quite good at coding. I asked a lot of doubts in the classes and the teachers were always ready to help.

Career Transition to Data Science

With the help of project mentoring and resume-building activities at Dimensionless, I updated my profile. They suggested the apt projects and skills for adding to my profile, which made it a bit relevant to my domain knowledge too.
Frankly, I thought I will have to give a lot of interviews before I crack one. After a walk-in interview, I got the idea about the kind of questions asked in Data Science interviews. I nailed it in the next interview and got placed to a position similar to my previous one.

I’ve learnt from my personal experience that most businesses look for capable people and not certifications.

Do you also want a career transition like Karthik?
Follow this link, and make it possible with Dimensionless Techademy!

Furthermore, if you want to read more about data science, you can read our blogs here.

 

Database Management to Data Science: Career Switch

Database Management to Data Science: Career Switch

Career Transition from Team Lead, Database Management to Data Scientist

I believe it’s never too late to learn and move to a better technology.

– Vikash Kumar Prakash

Background

Education: B. Tech in Computer Science

Previous Profile  >>> Current Profile
Company: BNY Melon
Profile: Oracle, PL/SQL Developer
Designation: Team Lead, Database Management
Domain: Finance
Experience: 8 years
Company: Barclays
Profile: Data Analyst
Designation: Team Lead
Domain: Finance

My journey into Data Science

Why Data Science?

There wasn’t much growth in PL/SQL and Database Management after a certain level. After reaching that level and giving about 8 years to one technology, and it was scary to move to newer technology. So I started looking at how I could build on stuff I already knew. I knew how to use and store the data. Now, I was more interested in the business side of it. I was interested in predictive analytics to help businesses apply this data and get insights from it. Data Science would help me do that. Because of this interest, Machine Learning and Data Science was an obvious choice.

Why Dimensionless?

One of my trusted friends did his course from Dimensionless and recommended it to me. He too was able to transition from Database Management to Data Science.

After checking out the course myself, I found it to be good in every aspect. My main issue was timings, but they provided the flexibility of attending classes in the morning or evening. Plus, there were weekend classes which covered the most syllabus. The faculty looked promising since they were all from Machine Learning background, they had worked in this technology. After the Demo, I was convinced completely.

Experience with Dimensionless?

I had a very good experience with Dimensionless. One thing I really liked was that the faculty gave equal attention to all the students. Even the doubts were resolved quickly by the teachers. Any issues we had were discussed either in the lecture itself or personally too.
We got assignments and case studies that helped us get hands-on experience in the applications of Data Science, which was the most interesting part for me.

Career Transition to Data Science

After the course was done, I started giving interviews. The Placement Assistance really helped me here. Right from resume preparation to mock interviews, Dimensionless prepared us for everything. We were given a set of questions to prepare from and then mock interview would be held. I think these activities boosted my confidence more than anything else.

Within 2 months after the course, I got placed in Barclays as a Data Analyst with R and Python.

Dedicating time to learning new tech is the best way out of an outdated job, no matter how much experience you have. In Data Science, as well as every other advanced technology, the main thing that matters is practical knowledge.

Do you also want career transition like Vikash?
Follow this link, and make it possible with Dimensionless Techademy!

Furthermore, if you want to read more about data science, you can read our blogs here.

 

System Engineer to Data Science: Growth Journey

System Engineer to Data Science: Growth Journey

Career Transition from
System Engineer to Data Science Success Story

You are judged based on practical knowledge, regardless of past experience.

– Ruchi Saboo

Background

Education: B. Engineering in Computer Science

Previous Profile  >>> Current Profile
Company: Amdocs
Profile: SQL, UNIX Developer
(Ordering and Billing)
Designation: System Engineer
Domain: Telecom
Experience: 2 years
Company: TSystems
Designation: Consultant
Profile: Data Science
Designation: Data Scientist
Domain: Telecom

My journey into Data Science

Why Data Science?

Day by day, the technology is evolving. I didn’t see myself getting the career growth I wanted with the technology I was working on before (SQL/UNIX). As anyone in IT would know, having a job as a System Engineer in SQL/UNIX these days is very mundane. I thought I wouldn’t survive for long. That was the main motivation to keep myself updated with the latest tech.

When it came to choosing the new tech, I found myself being more keen towards Data Science. It’s very interesting and insightful. It called to my intellectual side. It’s like you’re creatively playing with data and getting business results.

Why Dimensionless?

It’s a funny story. When I decided to go with Data Science, I enrolled in a classroom course mainly because I was never comfortable with Online Classes. It was mostly theory and my experience was neutral.
Since I was already working as a System Engineer using SQL, I had the database part covered at my end.

It was only when I started giving interviews, that I realized that their course curriculum and faculty was sub-par. A lot of the interview questions asked were not even covered in the lectures. When I went back to them with these doubts, they said it was out of syllabus.
Then I tried to learn by myself. I checked out some free courses.

In one of my interviews, I met this guy. He was a fellow candidate and he seemed pretty confident. We got to talking and he told me that he did a Data Science specialization course from Dimensionless. He was so satisfied with the course that I could feel his genuineness. Obviously, I got very excited to know more about Dimensionless.

Next thing I did was I spoke to their counsellors and joined in the next batch itself.

Experience with Dimensionless?

TBH, before taking up this course with Dimensionless, I was convinced that I can only learn properly in a physical classroom. I thought physical classrooms provide more support and are more accessible. Now I am much more comfortable in online training. Online or offline, if the teachers are good and doubts are handled, it doesn’t matter. It was so comfortable to attend classes from anywhere.

I knew why that guy in the interview was so happy with Dimensionless. The doubt-solving was quick. Teachers were available on call too. The sessions had a lot of communication and they were interactive overall. The course content was practical and easy to follow too.

Career Transition to Data Science

After completing the course in 5 months, I did some more self-study because I thought why someone would select me over an experienced Data Science professional.  I delayed applying for jobs. Finally, after some moral support from their mentors and mock interviews with Dimensionless HR, I built up the courage to apply for jobs and give interviews. Among other companies, I applied at TSystems, Wipro and Capegemini, and I got selected in all three!!! Imagine my excitement.

When I started giving interviews I realized that interviewers judge you based on knowledge and not past experience.

In Data Science, as well as every other advanced technology, the main thing that matters is practical knowledge.

Do you also want career transition like Ruchi?
Follow this link, and make it possible with Dimensionless Techademy!

Furthermore, if you want to read more about data science, you can read our blogs here.