Interview with Atul Tripathi, Data Scientist | Specializes in Artificial Intelligence & Machine Learning

4 Min Read. |

Atul is a Data Scientist with over 15 years of experience having worked in a wide area of Data Science – Image Analytics, Cognitive Sciences, NLP, Big Data Analytics, IoT, Quantitative Finance. He has built solutions using Data Science techniques for industries such as Telecommunications, Shipping, Energy Markets, Customer Analytics, Indian Railways, Anti Money Laundering, Policy Governance, Policing Affairs, National Security, Cyber Security and many more. He has also worked on the policy side for the Government of India for AI and Data Security too.

What was the first data set you remember working with? What did you do with it?

Atul Tripathi: First data sets were unstructured images. Processed the images to carry out intelligent analytics using Artificial Intelligence techniques.

Was there a specific “aha” moment when you realized the power of data?

Atul Tripathi: While working on the Data Policy and Security for National Security.

How do you stay updated on the latest trends in Data Science? Which are the Data Science resources (i.e. blogs/websites/apps) you visit regularly?

Atul Tripathi: I read through articles and follow trends on various social media sites.

Share the names of 3 people/publications/research that you follow in the field of Data Science or Big Data Analytics.

Atul Tripathi: IEEE, Science Direct, Paul Wilmot, IoT for All.

Download Detailed Curriculum and Get Complimentary access to Orientation Session

Date: 23rd Jan, 2021 (Saturday)
Time: 10:30 AM - 11:30 AM (IST/GMT +5:30)
  • This field is for validation purposes and should be left unchanged.

Team, Skills, and Tools

Which are your favorite Data AnalyticsScience Tools that you use to perform in your job, and what are the other tools used widely in your team?

Atul Tripathi: Open Source Tools.

Help describe some examples of the kind of problems your team is solving this year?

Atul Tripathi: Application of AI for Cyber Security.

How do you measure the performance of your team?

Atul Tripathi: Based on the intellectual capacity to think beyond the problem statement.

Are Analytical skills, Statistics, Machine Learning must have or good to have skills for Data Engineers?

Atul Tripathi: Yes, they should have a clear understanding of the fundamentals of the techniques they are applying.

Industry Readiness for Data Science

Are the industries looking to understand what they can do with data? Do they have the required data in place?

Atul Tripathi: They are still trying to figure out the approach strategy while they have data.

Which are the top 3 problems that are on top of the Data Science, either based on industries or based on technology area.

Atul Tripathi: In the current phase, 5G and its impact, IoT and Data Privacy.

Industry Readiness for Big Data

Is Big Data becoming a reality in the industry beyond the social giants like Facebook, Google, Yahoo? If yes, which industries are actually moving towards the power of Big Data Analytics? If no, what is the outlook for adoption?

Atul Tripathi: Yes, it is becoming a reality for the industry today. Some of the traditional industries such as Telecommunication, Oil and Gas, Healthcare.

Name 3 Industries and the kind of problems that they are solving using Big Data.

Atul Tripathi:

(i) Oil and Gas – Petroleum exploration
(ii) Telecommunication – Customer Analytics
(iii) Mining – Predictive Maintenance

Advice to Aspiring Data Scientists

According to you, what are the top skills, both technical and soft-skills that are needed for Data Analysts and Data Scientists?

Atul Tripathi:

(i) Most important – Soft Skill communication
(ii) Ability to look beyond the data sets and explore further
(iii) Technical Side – Artificial Intelligence

How much focus should aspiring data practitioners do in working with messy, noisy data? What are the other areas that they must build their expertise in?

Atul Tripathi: Aspiring data scientists will always have to work with messy data sets as more data is collected and analyzed in real-time. They should have the capacity to think deep in the problem statement. It is very important to understand that you are solving a business problem using technology.

What is your advice for newbies, Data Science students or practitioners who are looking at building a career in Data Analytics industry?

Atul Tripathi: Learn new techniques and apply them using data sets. Visualization is very important. Data privacy and protection are becoming extremely important. Think about the business impact that your solution will have.

What are the changing trends that you foresee in the field of Data Science and what do you recommend the current crop of data analysts do to keep pace?

Atul Tripathi: Impact of 5G, Data privacy, and protection, collection of new data sources. Most important how can one use all to solve a business problem.

Download Detailed Curriculum and Get Complimentary access to Orientation Session

Date: 23rd Jan, 2021 (Saturday)
Time: 10:30 AM - 11:30 AM (IST/GMT +5:30)
  • This field is for validation purposes and should be left unchanged.

Big Data Solution Space

What is the kind of structured and unstructured data companies have? What is the size that we are talking about?

Atul Tripathi: Unstructured data – Images, videos, speech, articles, and documents.

Would you like to share a few words about the work we are doing at Digital Vidya in developing Data Analytics Talent for the industry?

Atul Tripathi: Digital Vidya as a platform is doing a great job in connecting the industry with aspiring professionals. It is helping young professionals to understand the requirements to build a great career. Helping the industry to identify great talent.

Are you inspired by the opportunity of Data Science? Start your journey by attending our upcoming orientation session on Data Science for Career & Business Growth. It’s online and Free :).

You May Also Like…


Submit a Comment

Your email address will not be published. Required fields are marked *