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.


Network Engineer to Machine Learning Engineer

Network Engineer to Machine Learning Engineer

Career Transition to Data Science Success Story

Hands-on practice is the key to a good start in Data Science!


-Ashish Anand

Background

Education: BE Electronics & Communications

Previous Profile >>>Transition Profile >>>Current Profile
Company: Ericsson
Profile: Network Engineer
Domain: Telecom
Company: Ericsson
Profile: Data Science Analyst
Domain: Telecom
Company: Affine Analytics
Designation: Data Science Associate
Profile: Sr. Business Analyst
Domain: Retail

My journey into Data Science

Why Data Science?

In my previous profile, the work was very manual and monotonous, doing the same thing time and again. I was not satisfied with my work. I knew I had to change something. At that time, I was considering Data Science as well as Big Data since these two have the maximum scope and good pay as well. Maths and Stats were always my strong points and I am technically strong too. Considering this, Data Science looked like an exciting journey.

Why Dimensionless?

I tried to learn by myself through other online learning classes. I also took a course through Udemy. The pre-recorded videos were a drag. It was not interactive and I had a lot of doubts. That is when I came across Dimensionless.

Compared to other courses, this one had a detailed syllabus with 200 hours Live and Interactive training. I was sure about joining this course as soon as I attended the Demo. I took a lot of other courses but there was something or the other missing in them. With Dimensionless, I found all of it in one place.

Experience with Dimensionless?

It was exactly as I wanted it, a good mix of theory and practical. The classes were very interactive and teachers were always available for doubt-solving. They also helped me with my additional self-studies. I went to them with topics that were not in the syllabus and still got support. There was ample pre-recorded content as well, that we could refer to after the live classes.

Career Transition to Data Science

I’ll be honest, I didn’t get through any interviews at first. With mentors at Dimensionless, I got feedback on my performance at the interviews. The career mentoring facility helped me understand what I was interested in and which jobs I should be applying to accordingly. The HR guided me about which companies and jobs I need to apply to, weigh the advantages and disadvantages of the profiles.

This started giving me confidence. Finally, I got shortlisted for multiple companies, one of them was through Dimensionless. I joined Affine Analytics with almost 70% hike from my previous job. I am thankful to Dimensionless for all of this.

I like my work, I can work for 10 hours straight and not feel stressed.