Great Learning’s Excelerate Program has bridged the gap between the right skills and the right job opportunities – Brahadeeswaran, Business Analyst at Genpact

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When you realise that the career you are in is going nowhere, you can either give up and leave it to the fate or take charge and make efforts transition into more demanded roles. Brahadeeswaran chose the latter when he realised that his career as a Software Quality Engineer was going to be obsolete in the coming years. This is when he joined Great Learning’s PG program in Business Analytics and Business Intelligence to transition into Analytics job roles. 

What is your professional background?

Being an Electrical Engineer, I started my career in the IT industry and worked with Cognizant for about three years as a Software Quality Engineer. Initially, I gained experience in both Manual and Automation Testing. After two years, I felt the job which I was was doing was monotonous, and I was aware that testing profiles would gradually become obsolete. That’s when I joined Great Learning’s PGP-BABI program to upskill and stay relevant for the next few years. I was advised by many Great Learning alumni to take up the BABI course, which would help me to do a better career transition towards the field of Analytics.

What did you like about the course structure and curriculum?

I liked the intensive curriculum that covers different tools and domains. I enjoyed the faculty interaction during the sessions and peer learning, where there was excellent scope for knowledge sharing. I started exploring various tools like Python, R, Tableau, SAS and had hands-on exercise with all assignments conducted during this program. Every concept followed discussion questions, a quiz, and an assignment. Guidance from the Great Lakes faculty Dr P. K. Viswanathan, Raghav Shyam, Vivek & Gurumoorthi helped to learn faster and better because of their style of teaching that involved extensive examples. I will be using tools like R, Python, SAS, and Tableau extensively at my current job. 

How was the Capstone Project helpful?

Even though I was an outsider to the world of Analytics, my capstone had changed everything. Our project guide Dr. D. Narayana helped us in approaching the problem correctly and guided us at every step. Initially, we were sceptical on how to proceed with our capstone project, but he exceptionally motivated us to go ahead with it. I gained skills while exploring a new concept called NLP (Natural language Processing). Since its a research project, we have published our project in a well-reputed Journal. Interviewers asked about my capstone project in every interview I attended, and it helped me in getting overall positive feedback. Even in my Genpact interview, the capstone played an essential part in getting me hired.

What helped you most in your career transition?

Great Learning’s PGP-BABI program helped to leverage my skills in Statistics, Machine Learning, and Data visualization. I was technically sound with different Machine learning concepts before giving my interviews. All the interaction with industry mentors and faculties helped me deal with real-time business problems and find solutions using Analytics. Great Learning’s Excelerate Program has bridged the gap between the right skill and the right job opportunities for my next role. I got selected at Genpact through Excelerate for a Business Analyst role and helped me to make a better transition.

What is your advice for the aspirants looking for Analytics role?

As long as you have your eyes on the goal, you don’t see obstacles. Goals lead to purpose in life. It is the starting point for success. It doesn’t matter where we are today; what matters is the direction we are heading in.

Consistent self-paced learning is required by practising more problems to a greater extent apart from academics. This course will make our statistical foundation secure and will provide a great experience. Learn it in a structured way and try to implement it into a few projects which will help you gain confidence before applying for jobs. If your fundamentals are strong with some hands-on project & relevant experience, that will help you crack interviews. I am from a Software Quality background, but I leveraged my skills in R, statistics, and machine learning concepts, which helped me to clinch my interview. The interview process was somewhat relevant to what I had studied in the program about statistics and machine learning fundamentals. You don’t require any coding experience or prior knowledge before you start. I did not have enough understanding of analytics myself. Still, after joining this program, I was delighted with the way the gurus taught and provided exposure to the world of Analytics.

Learn more about Great Learning’s PG program in Business Analytics and Business Intelligence.

GL Excelerate- 4th Edition

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We, at Great Learning, organized our 4th edition of GL Excelerate in Bengaluru recently. Our career fairs are platforms where professionals find relevant openings and reach out to hiring companies. This time, the event was attended by more than 350 students and 18 hiring companies. More than 500 interviews were conducted, which resulted in offers for 20 candidates from top companies like HSBC, Dell, Infosys, Tech Mahindra, Wipro, and many more. More than 100 final rounds of interviews are still in line, following which even more students are expected to get job offers.

GL Excelerate career fairs have always been successful in bringing together professionals and hiring companies so that both can benefit from it, and it was no different this time. The 4th edition of GL Excelerate saw a significant confluence of professionals who are skilled for the future and are ready to take on roles as Business Analysts, Data Analysts, Data Scientists, Machine Learning Engineers, and more. Hiring companies were also able to find and hire the best candidates for relevant openings. Here’s what some of our hiring partners thought about the event:

“Healthcare and Pharma manufacturing industries are going through a massive transformation, all thanks to government regulations and value-based care models. They have a huge demand for people who know data and domain, and new-age tools such as Machine-Learning and AI to solve real-world problems. It’s exciting to be part of an event that’s focused on professionals who have skills of the future. We’ve already interviewed 40+ candidates here, and are likely to make an offer to some of them. Also, we shall continue to participate in the upcoming GL Excelerate editions- a great platform to seek new talents.”

– Preeti Verma, Genpact

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“Data Science and AIML are one of the best career moves for experienced professionals as those are nextgen technologies. Most importantly, we were happy to see so many candidates at GL who are interested to upskill themselves and make themselves future-ready. We definitely would like to participate in future events like these. Thanks for arranging this event.”

– Prithviraj Koley, Tech Mahindra

“Great Learning’s career fair – GL Excelerate, gave us the opportunity to come across highly skilled data scientists in large numbers. Out of the 74 resumes shortlisted, 30 odd folks cleared the first round. We are hoping they do well in the subsequent rounds and eventually get hired in TheMathCompany. We look forward to a continued relationship with GL Excelerate and hope we can join hands for yet another season of the career fair soon!”

– Eva Sharma, TheMathCompany

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Our career fairs are part of a much bigger initiative – GL Excelerate support, through which we guide our students to become job-ready. From helping them build their resume to connecting them with hiring companies, GL Excelerate aims at providing the best career support. Our most recent career fair was one of the many that we have planned for our students. Visit our GL Excelerate page and learn more about how candidates benefit from it.

Launch pad for my Transition into Data Science: Bhavya

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As rightly said by our alumnus Bhavya Labishetty, “One of the most difficult things to do in life is to restart” A career transition can be a daunting experience, but not at Great Learning. We try to make it meaningful, fun, and rewarding as possible. After the experience she has had at Great Learning, she says “Great Learning has been a Launchpad for my transition into Data Science. DSE program has been a learning experience.” Here is an overview of her journey at Great Learning.

Tell us about your professional background. Why did you choose Great Learning? 

I am a Computer Science and Engineering graduate (2016) and have worked at Hewlett Packard Enterprise (now DXC Technology) for 2 years. My experience has been into Quality Analysis and Business Analysis. I was very intrigued by Analytics and wanted to transition into the field. I did a few online courses and tried transitioning into Analytics but that was extremely difficult. After a lot of research, I decided to pursue a full-time course with placement assistance and Great Learning ticked that box.

How has your experience been at Great Learning? 

The most daunting task is to quit a job and try to transition into a field which requires a different level of skills altogether. Initially, when I joined GL, I had no idea of what to expect but along the program, I began to understand that each topic covered in class acts as a foundation and a lot of self-study and preparation is required to understand the bigger picture.

Faculty were able to provide a basic understanding of each topic and sessions were very insightful. I come from a programming background so understanding the logical flow wasn’t as difficult but since I was not involved in any coding for 2 years, keeping up with fresh graduates and people with programming experience was quite a challenge. One of the best things about the program was the kind of peers I got to interact with. Everyone had a new approach to understand the problem. I will be grateful for their support and being one of the reasons for me to get better. 

Were the projects and case studies helpful?

We were assigned mini-projects and case studies that helped understand the problem and its practical implementation. In the case of the Capstone project, we had ample time not just for implementation but also to do the groundwork on the domain that was assigned. This came in handy during interviews as I was able to explain the real reasons why data was behaving in such a fashion during the given time.

How was the career support from the team at Great Learning?

Academic and Career support given by GL was satisfactory. The team was available, a special mention to Akhila as she was always the first person to guide and help us in preparation. She provided enough feedback time and again and that was of great help. 

With the help of Career support, I got to interview with many companies like Nielsen, Bridgei2i Analytics, Oppo etc. Using the foundations from the topics and working on those concepts was necessary to crack the interviews.

How was your experience of the interview with Oppo?

The entire process was of 4 rounds. Initially, there was a Telephonic HR screening where they tried to understand my work experience and the projects mentioned in the resume. The next round included questions based on the projects mentioned in my resume and also related to the Machine Learning models used in the projects. My Capstone project was related to financial risk domain and the interviewer asked several questions on the same. Next round was a Case study round where the interviewer provided a problem statement and asked me to provide a solution within 30 minutes. The case study was again related to Finance risk domain and my research on Capstone project helped me in providing the solution. The final round was with Oppo‘s CRO and after the interview, I received a confirmation. 

Upskill with Great Learning’s PG Program in Data Science and Engineering and unlock your dream career.

Online Course from Stanford was my best decision – Thompson, Alumnus

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The ultimate benefit of an online course is the flexibility of time and location that one has to pursue the course at their own convenience without compromising on other commitments such as their job. Here’s how Dudley Thompson benefitted from our online course in Cyber Security.

Tell us about your profession

Currently, I am working as a Trading Floor Specialist in a top tier Investment Bank in London. I support the traders with Technical IT issues that they face, it could be related to Bloomberg, Reuters, bespoke trading applications, or hardware related issues. I also work with mobile devices and messaging systems.

What motivated you to pursue a career in Cyber Security?

During my undergraduate program in Distributed Information Systems, I was exposed to elements of computer security and from there I was bitten by the bug. I find it quite exciting in trying to circumvent security systems and the means which can be deployed to make them safe against miscreants both inside and outside the organization.

 

Why did you choose this course with GL?

Having looked around I came across the course offered by Stanford when I was on a holiday. I looked at it thoroughly and decided it was the one for me. I am a working professional so it’s hard to get time off from work and to go to classes, so an online course from a reputable institution such as Stanford was the best way forward. Also, I think it is value for money compared to other courses on the market.

How has your experience been with this course? What did you really like about it?

I am really enjoying the course so far, I like the practical real-life examples which I can play around with in my virtual sessions. 

Also, it’s easy to get in touch with the support and teaching staff. Gauthami has been quite helpful in resolving any issues which I might be facing and is quite supportive.

Upskill with Great Learning’s Stanford Advanced Computer Security Program and unlock your dream career.

The Content helped to fill Knowledge gaps – Aishwarya, PGP-BABI

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At Great Learning, we strive to bring about a remarkable change in the career and life of our learners, and it is their success that fuels our drive to grow and provide better services and courses. Our courses not only give a direction to their career but also instil a sense of confidence and comfort with the subject matter and domain. Here is one such testimonial that drives us to do more and better. Read along.  

As we all know the market is flooded with information and resources, it is an ocean out there and choosing what is relevant for you is like searching for a needle in the haystack. I have researched for almost 3-4 years and have been doing a lot of work in Data Science, Machine Learning, and Statistical Jargons on my own. Still, I never felt confident enough to actually debate with a person who has already worked in this area. I always felt like something was missing in my arguments and there was always a gap in what I wanted to convey and what got conveyed. I felt depressed about it as all of my peers were either excelling in their fields or had already reached great heights. Not knowing where I am heading and desperate to break the shackles, just took a leap of faith and got enrolled in PGP-BABI Online

Hitting just the right spot at the right time with the right intent is what fetches a six in cricket, and I think I just hit a “Home run”. Its been almost 9 months that I started my journey in this course and here I am feeling elated, confident, motivated, and full of a new spark (just like a newborn). I had numerous Eureka moments throughout the learning process, and have actually developed Intuitional thinking towards problems pursuing the Cognition. I can now visualize how a Neural Network works in the first place.

The key takeaways from PGP-BABI :

  1. The direction (moduled structure of content) has a proper flavour of which should come first, Statistics or Regression (chicken and egg problem).
  2. The content actually helped in filling the knowledge gaps, just creating a sweet balance of not getting overwhelmed by the information, at the same time capturing the right essence of things.
  3. Mentor Sessions are a key ( or I would say a backbone ) because in a virtual world it’s really hard to get that Human Interaction and feel.
  4. Prompt responses to queries from Program Office boosted the overall output from modules (flexibility to hit a Six in any direction).
  5. Everybody has a budget constraint, IIMs, ISBs, are beyond the reach mostly, UpGrad, INSOFE, doesn’t feel the right credentials. Collaboration with UT Austin makes GL standout.
  6. Lastly, you get to be a part of a very intelligent product campaign “Office Dinosaur”. This adds a pinch of salt to the competition out there.

I have always heard the words like a Great Job, Great Work, Great Enthusiasm, etc. but have never got a pat on my back saying “GREAT LEARNING”. It is now, because of you guys and the whole team at Great Learning I am feeling so. 

Proud to be a part of the GL family and hope to contribute further in whatever ways possible.

GREAT LEARNING” guys, keep doing the good work.

The Course offered an exhaustive curriculum- Dipankar, Data Analyst

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There are times when professionals in a specific domain reach saturation and do not enjoy working in their domain. At such times, one can either succumb to the monotony or rise up to look out for opportunities in other domains, sometimes drastically different from their current role. This is what Dipankar Neogi did when his marketing career reached its saturation point. Read how he transitioned to a data analyst role from being a marketing professional.  

What is your professional background?

I had completed my post-graduation as an MBA from Ramaiah Institute of Management Science in 2010 and worked for 7 years in Marketing with a firm in Bangalore. In order to upskill and upscale my career, I took a course in Business Analytics and Business Intelligence at Great Learning. Presently, I am working with Indegene as Senior Data Analyst.

Why did you choose Business analytics for upskilling and why did you choose GL?

I was not happy with the role I was working in previously. There were no growth opportunities and the remuneration not satisfactory. I had two options; one was to take up a full-time technical course and the other was to pursue an Executive MBA or get through GMAT to ISB or IIM. There was a lot of buzz for Analytics and Data Science and some of my friends suggested some courses. I did research and came across the GL’s BABI course. Since it was more business-related than a tech-driven program, I took this course as it suited me the best.

How was your overall experience with GL?

The course offered an exhaustive curriculum. Now since I am working in an Analyst role, I see how well-versed the course is. It provided detailed learning in Statistics, Regression, Conjoint analysis, etc., all of which I am using in my current role. The classroom experience made me realise the dream of being from a reputed firm. Working with peers and coming together on weekend classes or for projects, is what I recall as the most memorable time at GL.

Share your experience at the Interviews?

I got interviewed and shortlisted by many companies. I realised some patterns in the questions asked during the interviews. I figured out that the interviewer mainly focussed on my learning of the project that I had mentioned in my CV. In some interviews, I was given a real-life situation and was asked to give predictions for them. They judged me not only on my answers but also on my perception of the situation and the approach towards it.

Any advice to future aspirants?

Firstly, you need to focus more on projects. Apart from the Capstone project offered by GL, work end to end on some projects of your own. This will give you clarity and confidence with the subject matter. And secondly, focus on mastering one domain at a time. This will give you a stronghold in the domain.

Upskill with Great Learning’s PG program in Business Analytics and Business Intelligence and unlock your dream career.

Unmatched Quality of Faculty at Great Learning- Venkatesh, Analyst

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From an amateur in Data Science to a Hackathon winner, Venkatesh has come a long way in his career. He was a newbie in this field since he’s from a commerce background, but he still didn’t lose confidence or direction throughout the course. Here’s how he did it: 

What is your professional background?

I completed my graduation with B.Com in Informations System Management from Ramakrishnan Mission Vivekananda College, Chennai by 2015. Then, I started as a Research Associate in RRD – Global outsourcing solutions, APAC. In 2017, I took a BABI course with GL. Currently, I am working as a senior research analyst at RRD.

How did you develop an interest in this course? Why did you choose Great Learning?

As soon as I started working in RRD as a research associate, I got aware of the Analytics field in terms of information & intelligence value. As a market researcher, I developed an immediate interest in this field and started looking for institutes that provided courses in this stream. I came across GL and it’s brand value. I got in touch with the team, got interviewed for the course and cracked admissions in BABI course at GL. 

How did you transition from a Research to a Data Science role?

During my time at GL, I spoke to my organization about my course and requested them to let me explore my skills in order to check applicable areas. After their approval, we started developing a proof of concept for clients; which turned pretty well. In the past 2 years, as a company, we have come a long way in terms of our practice and implementation of analytical tools. I feel privileged to be a part of an organization where through the help and support of management, I could transition to the Data Science field.

What did you think was the best thing about this program?

The best thing about this course is it provides flexibility in terms of learning things at one’s own pace. The course and curriculum are designed to promote learning and not spoon-feeding. There is an ample amount of time to learn, understand, practice and implement the concepts. The quality of faculty at GL is unmatched compared to other institutes.

What would be your advice to the future aspirants?

The advice would be to develop key skills in identifying areas where analytical tools can be applied to make things easy and profitable. One needs to study and research properly to understand the deployment of tools in favour of Business.

Upskill with Great Learning’s PG program in Business Analytics and Business Intelligence and unlock your dream career.

Meet Balaji SR, winner of Capgemini Tech Challenge 2016 in Data Science

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The team InbuiltMinds comprising Saran Kumar Pantangi, Aditya Sethia, Diptangshu Chakrabarty, Vamsikrishna Patchava and Balaji SR took away the winner’s award at the recently concluded Capgemini Tech Challenge 3.0. The third edition of the technology contest by Capgemini was held at Capgemini Knowledge Park in Airoli, Mumbai. The team won the Tech Challenge Title for the penultimate challenge called the ‘Digital Shopper’.

AIM interacted with one of the participants, Balaji SR who happens to be an alumnus of Great Learning’s first PGP-BABI batch in Chennai. Based out of Hyderabad, he first came to know about the Tech Challenge through Google Ads.

Commenting on his participation he said that “Capgemini Tech Challenge was open to both IT professionals and Students all over the country aging between18 to 35. It received a good response from over 74000 participants. Each Challenge has three levels with level three as final challenge. Contest was held on various themes like Coding, Pega, Hybris, Adobe, Block Chain, Data Science and Data Integration.”

“The first two levels were held online and the third level was a two-day live Hackathon at Capgemini Knowledge Park, Mumbai. There was also a team based digital challenge. I had competed in Data science theme. I am the winner in Individual Data Science Category and part of the team which had won digital challenge”, he exhilarates.

Receiving a humongous response, there were over five lakh page visits and 4.8 million views on the Tech Challenge microsite. However, only sixty participants from across the country attended the finals in Mumbai.

The penultimate tech challenge titled the `Digital Shopper’ comprised of a team event where eight different teams brainstormed and used their technology expertise to create solutions to real-life consumer challenges. It required participants to create a solution to a complex problem, which would allow a shopper to research multiple categories of the same product, compare price indexes, and identify a cost-effective product, all of it through a unified solution. Balaji used the tool R to go about the challenge.

A data professional with an experience in data warehousing and business intelligence, Balaji saw this opportunity as a platform to benchmark himself against best the Data Science professionals in the Country. He confessed “Great Lakes PGP-BABI was my gateway to Data Science. I have an exposure right from Data extraction to predictive Analytics, thanks to the Great Lakes’ program”. He further added “I need not prepare much for the competition as I had already gone through the grind when I did my PGP-BABI program at Great Lakes.”

On a concluding remark Balaji said that his major takeaway from the competition is satisfaction and confidence of being one of the best Data Scientists of the country someday.

One should have strong fundamentals- is his advice to other aspirants. “Data Science is not about running some tools on the data. It is about filling the gap from Data to Decisions. In addition to technical capability one should be good in business understanding. I am good in technology and was lucky to pick up good business understanding from Great Lakes PGP-BABI program”, he said.

The jury comprised key members from Capgemini India leadership. Winners and runners up in every theme received cash prizes of up to Rs 30,000 and Rs 20,000 respectively.


 

This exclusive story was published in Analytics India Magazine.

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Capstone Project: Identifying Patterns in New Delhi’s Air Pollution

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Introduction

Diwali is just 5 days. Guess what is the most tell-tale sign- The NCR air quality index, which is already soaring as high as last year’s post Diwali index.

Yes, that’s very true!

The rate at which urban air pollution has grown across India is alarming. A vast majority of cities are caught in the toxic web as air quality fails to meet health-based standards. Almost all cities are reeling under severe particulate pollution while newer pollutants like oxides of nitrogen and air toxics have begun to add to the public health challenge. New Delhi is among the most polluted cities in the world today.

In the above context, we did this case study “Identifying Patterns in New Delhi’s Air Pollution” as a part of our Capstone Project at Great Lakes Institute of Management, wherein, we closely studied the Air Quality Data for New Delhi, identified patterns (spike in air pollution levels), identified correlating factors on key levels of Air Pollution across key locations of New Delhi. Also as part of the exercise, we also studied the impact of Government sponsored Initiative like ‘Odd-Even’ Pilot Project Phase II.

As the final report of the Capstone Project gathered massive appreciation from our professors & mentors, we decided to share the project study on a public platform. Here, we would like to thank Analytics Vidhya on supporting us by publishing the same and thus, making sure the study reaches thousands of Analytics learners across the globe.

We hope this will not just assist others learn but also sensitize the readers towards celebrating an environmentally safe Diwali this year.

Now, let’s have a closer look at the study!

Great Learning PGPBABI Project breakdown

The Learning Journey

Though this was our very first small milestone, we still definitely feel proud about our project and amount of the learning happened through it. We would like to thank Great Lakes for giving us an opportunity to learn and share our knowledge in analytics space.

Here is what our mentor, Mr. Jatinder Bedi, had to say about our Capstone Project, “Students wanted to do a typical legacy project in which they wanted to pick a dataset and run various Predictive models on top of it. I suggested them the idea of studying urban air pollution, a topic on which I was already working. I shared my thoughts and they picked up very smartly. The group had great energy to learn and was all willing to explore how concepts can be applied to real-world problems. It was an unsupervised study where we all learnt in every step. The project was a great showcase of how we can apply Analytics as a tool to understand problems around us and further take necessary steps to minimize the effects.

Thanks to Dr. PKV for his consistent guidance and support. He has always been a great source of information for us.”

We sincerely hope this case study would be useful to analytics learners, giving them few ideas to do their own Capstone projects and simultaneously, give them a glimpse of Great Lakes PGP-BABI program. You can read more details about the program Great Learning PGPBABI program in Bangalore

 

This article was contributed by Karthikeyan Gnanasekaran, Shrinivasabharathi Balasubramanian, Sankaranarayanan Mahadevan and Nagesh Shenoy Mand the mentor Jatinder Bedi and was done as part of their capstone project. They were part of the Great Learning PGPBABI program in Bangalore and finished their curriculum recently.