Nandan worked with Allianz in the Global Data Office. Previously, he worked with Uniper (an energy generation company) as a Data Engineer dealing with solving the problems of power plants by applying Machine Learning. Having completed his Masters in Data Engineering, applying the concepts learnt in a practical environment is really something he likes to do.
Before this, Nandan worked with Microsoft, Germany as a working student where he also completed his Master Thesis on Recommender systems.
Along with his masters studies in Bremen, he worked as a working student in LittelFuse and joined XING as a Data Engineering Summer School Intern.
He also has experience of working in two large consulting companies in India where he solved various client problems ranging from banking to healthcare.
While pursuing Bachelors in Electrical Engineering, Nandan also coauthored and published research papers (IEEE & Springer) on application of AI in the field of control systems.
My Mentoring Topics
- Data Science,
- Data Engineering,
- Career Advice,
- Internship Applications
Nandan really helped to simplify my approach and suggested me clear action points. I am looking forward to speaking to him again!
Extremely useful. Nanden is very professional and knowledgeable. He is extremely friendly and polite. I learned a lot from him. Thank you!
This session really helped me to have a direction and narrow down my priorities. This session addressed the limitations I am having in terms of learning and helped me to prioritise my learning skill set.
The session was really helpful to me. I've gotten many things new to open my mind. The mentor gave me a bigger picture to step in a career as Data Analyst as well as links to upgrade my skills. I'm really appreciated his service😃
Nandan is the best, he gives you better view about the career and the market.
Nandan is the best mentor. We had a great session where he gave excellent advice, tips, was very polite, set standards without being rude, and even offered coupons for courses. Highly recommend!
We had very exciting mentorship session. As experienced in the data science field, Dandan shared his experiences with me and helped me reshaping my data oriented future career. He also adviced me with the most important data science tools in the indutry.
It was really a pleasure speaking with him like a friend of many years.
The conversation was excellent. Nandan answered all my questions and identified my strengths and weaknesses. He also advised me on the next steps that are interesting for my career. He proved to be a person with vast knowledge, experienced, and up-to-date in the Data area. I look forward to our next conversations.
The session with Nandan was very great. He is a very knowledgable and supportive. Also, he has a good insight into job market and job haunting process. I find it very kind that he was willing to give advice and help even after our session on the LinkedIn. In general, the mentoring session with him was very good and recommendable.
It was a very helpful session for me. He gave me a lot of guidance towards pathways to change my carrier .I will continue keeping in touch with him.
Yes it was very helpful
This session was an eye opener for me. He gave me really honest and unbiased opinion for the topics which were raised by me during the session. The session has helped me in de-cluttering my journey.
My mentoring session with Nandan was extremely helpful. He began by asking questions to find out what stage I am at in my career, what my goals are, and tailored his advice to my situation. He was extremely generous with his time and offered very useful tips on the skills I need to learn, how to learn them, and how I should then approach job applications.
After the session, I left feeling encouraged, and had a very clear plan for what my next steps should be in my career. I couldn't recommend him more. Thank you Nandan!
Had a meeting with Mr. Nandan. He is very friendly and answered all my doubts. Gave a proper plan of action to take the next step.
Shared with me all the resources, sample projects to show case in interviews.
Thanks for your time.
The session was really helpful, Nandan was friendly and gave me advice from his real-life experience and helped me see more clearly the path I should go
In that context it was like water in the desert, Got good insights about how to build a portofolio and the best was about doing something with GA demo data. Keep helping others with things you can do for someone you might be the only one who did that. Xd
Yes, definitely helpful
The session was really helpful. My question was answered accurately and I have got insightful advice.
I will set another meeting in the future to consult about my decisions.
The session was really helpful. The discussion with Nandan was very friendly and he did provide me with a couple of options to consider relating to my situation along with a plan. The flow of conversation was very smooth and informative addressing all my questions and providing along with multiple options that I could consider.
Nandan explained things in great way and explained how to enter the required field. I will recommend everyone to get connected with him.
Overall a great session. Nandan knows things in his field of work. Would love to have such sessions often.
Nandan was very helpful throughout the session. He gave feedback on my assignment and also shared some urls, which were helpful. Looking forward for more mentoring sessions with him.
Yes, I found the session to be beneficial. Nandan is very friendly and easy to talk to. Prior to the session, I had no idea how to begin my career in the data field. The situation has changed, and I now know what to do as a result of the things Nandan shared.
Many thanks to Nandan and the mentorship club for giving the platform.
Yes this session was helpful and he was very much supportive to understand the existing concern and gave good solution to the problem.
It was great. All my questions with respect to Data Engineering was cleared by the mentor. It was wonderful talking to him.
It was really very good session. I got to know where to keep my footsteps now and how to plan ahead of my career.
Thank you for helping me to better navigate myself in this AI/DS complex.
Intuitive session, appreciate the insight, looking forward to learn more and get experience in the field. Thanks
Key insights about thesis and job opportunities in Germany
The Hundred-page Machine Learning Book
Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: "Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics - both theory and practice - that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field." Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: "The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages!). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field." Karolis Urbonas, Head of Data Science at Amazon: "A great introduction to machine learning from a world-class practitioner." Chao Han, VP, Head of R&D at Lucidworks: "I wish such a book existed when I was a statistics graduate student trying to learn about machine learning." Sujeet Varakhedi, Head of Engineering at eBay: "Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.'' Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: "A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.'' Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: "I would highly recommend "The Hundred-Page Machine Learning Book" for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base."View
Approaching (Almost) Any Machine Learning Problem
This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesubView
R for Data Science - Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham, Garrett Grolemund
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and resultsView
Jediný oficiální a dlouho očekávaný životopis vizionáře a jedné z nejvýraznějších osobností moderní doby. Už v předobjednávkách byla kniha na Amazonu nejprodávanější knihou všech dob. Na podkladě více než čtyřiceti rozhovorů se Stevem Jobsem provedených v průběhu dvou let, a na základě více než sta rozhovorů se členy jeho rodiny, s přáteli, konkurenty, soupeři i kolegy - pojednává tato kniha o životě plném vrcholů i propastí a o pronikavě intenzivní osobnosti tvořivého podnikatele, jehož vášeň pro dokonalost a železné odhodlání zcela převrátily šest odvětví lidské činnosti: osobní počítače, kreslené filmy, hudbu, telefony, počítačové tablety a digitální tisk.View