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Learn from industry-seasoned data science mentors. Get unstuck fast, unlock growth.

All Preplaced Mentors are in the top 3% of their industries

Vishal Malhotraakash kamerkarTarun BawaSoudamini SreepadaEkta ShahNishtha GuptaManish Pathak
30+

Top Data Scientist Mentors at Preplaced

Why get a data science mentor?

The charm of data science lies in its interdisciplinary essence, seamlessly blending statistics, computer science, and domain expertise to tell interesting stories with numbers. For those aspiring to join top tech and MAANG companies, a mix of technical and soft skills is essential.

On the technical side, mastering Python for data science is almost a prerequisite, given its versatility and extensive libraries. A solid foundation in statistics for data science ensures accurate interpretation and expertise in big data analytics is increasingly crucial for efficiently handling massive datasets.

The synergy of data science and machine learning enhances a data scientist's ability to create predictive models and uncover innovative patterns driving business success.

Beyond technical prowess, soft skills are paramount. A data scientist should not only crunch numbers but also convey insights effectively to diverse audiences.

In the dynamic world of data science, having a career mentor is like having a co-pilot on your journey to success. Mentors provide custom insights, illuminate the path, and empower you to navigate the complexities of the data universe confidently. A mentor in data science brings real-world insights to the table. They've walked the path you're walking and have many experiences to share.

Mentorship speeds up your career growth by providing insider tips on what top tech and MAANG companies specifically look for. Mentors offer guidance on standing out in a competitive field, be it in big data analytics or the details of data science analytics . Beyond skills, a mentor becomes a part of your support system, offering encouragement during challenges, celebrating victories, and providing constructive feedback.

Unlike online courses that often feel like a solo flight, a mentor brings the real world into your learning journey. They share practical insights, anecdotes, and nuances of the data science career , bridging the gap between theory and application. While online courses provide knowledge, mentors open doors by introducing you to their networks, offering a peek into the vibrant world of data science. It ensures you enter the data science future armed with connections and opportunities.

In the realm of data science training , feedback is gold. Mentors provide real-time feedback, helping you course-correct and refine your skills, akin to having a personal coach ensuring you're not just learning but excelling in data science. Mentors also serve as interview coaches, tailoring preparation based on real-world insights. They dissect common data science interview questions , simulate interview scenarios, and demystify the intricacies of the data scientist interview process. Beyond advice, mentors provide a feedback loop. After mock interviews or discussions on data science interview experiences , they pinpoint areas for improvement, ensuring continuous skill refinement in the competitive job market.

Navigating the job application maze can be overwhelming, but fear not—mentors are there to guide you. They help plan your approach, identify the right opportunities in the data science career landscape, and position you for success. At Preplaced, you get access to experts like Google data scientists, Microsoft Data Scientists, Amazon data scientists, Accenture data scientists, Walmart data scientists , and others. They’ve got your back, be it complete interview preparation or learning tricks of the trade. Get a mentor today!

FAQs

You can start by filtering the mentors by domain, experience, and pricing, in the 'Explore Mentors' section. Carefully sort through the profiles to understand their work history, industry experience, mentee reviews, and how long-term mentorship with them would work.

Wanna try before you commit? Book a free trial session with your chosen mentor. It's the ultimate litmus test for their skills, availability, and if you two vibe well together.

Got more questions? Read this guide on how to choose the perfect mentor at Preplaced.

Preplaced mentorship isn’t similar to doing a course. There is no fixed module or syllabus to follow. Think of it like having a personal guide. You will get help with all career-related issues you’re facing. 

Your mentor will suggest resources to study, assign you technical projects to complete, set up mock interview sessions, and even train you 1:1 on a skill. The nature of your sessions is hyper-personalised and will change from person to person based on their skill level and career goals .

We, at Preplaced, don't impose on a mentor’s preferred mentorship style and a mentee’s career requirements. Every person is different and has different needs.

This is what 1:1 personalised mentorship is all about. It’s the only path to true career success. Know more about how long-term mentorship works at Preplaced.

Anyone who wants to:

  • Learn data science from scratch
  • Switch to a tech job from a non-tech background
  • Level up their data science skills for better job opportunities
  • Practise technical interview questions with a pro
  • Crack MAANG interviews
  • Need help with job search and application
  • Just have an expert opinion on their goals

In short, Preplaced data science mentorship is for anyone who needs the help of an expert in their career journey. No matter your goals, Preplaced mentors have you covered.

Whatever fits your goals will be the ideal duration for your data science mentorship. The number of weekly and monthly sessions and the total mentorship duration will be decided based on your career goals by you and your mentor. The overall duration of your 1:1 mentorship could be one month, three months, six months or more—your mentor won’t leave your side till you’ve accomplished your goals. 

Ideally, we recommend our mentees be consistent with their preparation journey for at least two to three months to get the most out of this mentorship experience. Discuss the details of your mentorship over a trial call with your mentor. Read this to know how to make the most of trial sessions.

Courses lack:

  • Personalisation,
  • Interaction and feedback, 
  • practical exposure to skills, 
  • and the ability to keep you accountable and motivated throughout.

1:1 mentorship works differently. With mentorship, you work with a skilled mentor already doing what you aim to do in your career. They know what it's like to be where you are today and will map out a detailed pathway for you to follow to succeed in your career. It cannot get more personalised than that.

They'll be there for you every step of the way. Be it learning data science skills, applying them practically, preparing for data science interviews, networking in the industry, or looking for jobs . They will help you through it all. All the while keeping you motivated and consistent and providing you with a wise yet friendly listening ear. Read this detailed guide on how 1:1 mentorship differs from online courses.

If you wish to receive help with interview preparation and job search, absolutely yes. With mentorship, you will not only learn and polish your data science and soft skills but also get complete interview guidance along with job search support.

Your mentor will conduct mock interviews, to best prepare you for the most challenging interview questions you will face in the real interviews.

You will also get insider secrets to resume building for your role and networking advice. If your mentor is impressed with your skills and potential, they’ll also be happy to refer and recommend you to their current organisation and professional network.

Mentorship is for everyone: freshers, pros, and even absolute beginners. So, if you need to learn data science from scratch, your mentor will help you with that. 

They'll tell you where and how to learn, what resources to choose, what platforms to practise on, and what your upskilling roadmap should look like.

Reviews

Ekta was instrumental in laying my career path. The insightful feedback and constructive criticism have consistently pushed me to strive for excellence. Ekta not only provided me with technical knowledge but also imparted practical wisdom and real-world perspectives, which have been invaluable in my professional endeavors. Ekta's mentorship has not only enhanced my technical skills but has also instilled in me a passion for continuous learning and problem-solving.

sreelakshmi Gsreelakshmi G

27 Jun, 23

Thank you sir for analyzing My cv and always guide me and support me whenever needed I am always grateful to become your mentee.

Kunal TiwariKunal Tiwari

29 Jun, 23

First of all pooja is very to the point and focused.under her guidance my preparation is in right track.Within a very limited time I'm ready for interview.Thank you

Niladri DeyNiladri Dey

19 Jul, 23

I had an overview on what to do after the session. Hitesh had a great plan for his mentees. If you are willing to give your 💯 then you are in the right place....

Sai AdithyaSai Adithya

07 Nov, 23

Asked by ABHISHEK KUNTE | Working Professional | Data Analyst

ANSWER BY THE MENTOR

Abhishek, they're specific challenges and common mistakes which requires immediate attention. First can be struggling while showcasing technical skills. It's vital to demonstrate hands-on experience with relevant software and explain how you've appli . . .

1 other answer
Ekta Agarwal
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Ekta Agarwal

,

Asked by Kunal | Fresher | Data Scientist / AI/ML

ANSWER BY THE MENTOR

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