Data Science Career Accelerator

Want to crack data science interviews at FAANG & the top tech startups? Join this exclusive course by Dr. Sundeep Teki, who has coached 50+ candidates to get job offers at Apple, Meta, Amazon, LinkedIn, Twitter in the US. Featuring mock interview coaching sessions, guest talks by industry leaders, and referrals to hiring companies like Oyo & Klub, this course will transform your career by getting your foot in the door at the top tech companies. [COHORT #1 CONCLUDED IN FEB. 22 WITH AN NPS OF 80!]

By Sundeep Teki, PhD


Join the waitlist to be notified when enrollments open for the next cohort.

Who should join

Seeking your first job in Data Science? You could be a software engineer, recent STEM graduate, or a data professional transitioning to Data Science.
Seeking the top jobs in Data Science? You could be current data scientists, managers or ML engineers aiming to crack interviews at FAANG and top tech startups.

Topics to be covered

Week 1: How to enhance your Data Science profile?
Week 2: How to prepare for Data Science interviews?
Week 3: Practice! Mock data science interviews
Week 4: How to evaluate job offers, teams, companies and negotiate?

Meet your Instructor

Sundeep Teki, PhD

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Sundeep is a leader in AI & Neuroscience with 14+ years of experience across Big Tech (Amazon Alexa AI, USA), Startups (Swiggy, India), & Academia (Oxford & UCL, UK). He has built AI-powered products; hired and interviewed multiple data scientists; successfully coached 50+ data science candidates who got jobs at FAANG companies in the US; published ~75 papers & blogs; advised tech startups on AI & Data; mentored 100+ candidates.

Course Director

Navneet Sharma

Navneet is a co-founder of Airtribe, a pioneering EdTech startup funded by Better Capital and numerous Super Angels. Previously, he was a Product Director at Unacademy. He will be working closely with Sundeep to curate an immersive cohort-based learning experience to accelerate your Data Science careers.

Hiring Partners

Guests

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Kranthi

Data Science Leader @Oyo (Ex: AVP at Swiggy)
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Mathangi

Chief Data Officer, CredAvenue (Ex: Gojek, PhonePe, 24[7].ai, HSBC, GE, Citi)

Comprehensive Curriculum

1
Week 1: How to enhance your Data Science profile?
  • Upgrading your profile to make it attractive for hiring

  • Polishing your CV, LinkedIn, Github, Website, Medium

  • Designing your personalised data science jobs strategy

  • Selecting startups that align with your profile and are the best fit to grow your career

2
Week 2: How to prepare for Data Science interviews?
  • Evaluating the different kinds of data science interviews (Offline assignments, coding, statistics, ML depth and breadth, ML systems design, product sense, behavioural/hiring manager, HR)

  • Creating your personalised data science preparation strategy

  • Evaluating your strengths and weaknesses in different aspects of data science

  • Personalising your preparation strategy for each target role and company

3
Week 3: Practicing mock data science interviews
  • Practicing mock interviews simulating the above-mentioned data science interviews

  • Assessing whether you are interview-ready or not after the mock interview sessions

  • Designing your preparation strategy and practicing to becoming interview-ready

  • Dealing with nerves and stress prior to onsite interviews

4
Week 4: How to evaluate job offers, teams and negotiate?
  • Evaluating a job offer holistically

  • Negotiating a competitive compensation package

  • Assessing the team & company culture in terms of Data & ML

  • Dealing with offers and rejections

1
Week 1: How to enhance your Data Science profile?
2
Week 2: How to prepare for Data Science interviews?
3
Week 3: Practicing mock data science interviews
4
Week 4: How to evaluate job offers, teams and negotiate?

Why choose a Cohort based course?

01
Learn and grow with a tribe
Be part of an exclusive and private community filled with people who will support and grow together. Courses are designed to facilitate peer learning and interaction through breakout groups, community activities and group projects.
02
Engaging Live Sessions
These are not like recorded online classes that you do in isolation. The sessions are designed to increase engagement. In this course, they won’t just deliver a lecture, they’ll engage the class, facilitate breakout discussions, and leave plenty of time for Q&A.
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03
Ensuring feedback and accountability
You will get regular feedback throughout the course. And since this course is going to have live classes and community, this should lead to more accountability to drive your likelihood of success with the course.
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Testimonials

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Kensen

Data Scientist at Meta, USA

Sundeep was a great mentor for preparing me for FAANG-level data scientist interviews. He is an expert on ML and product management, so I was able to learn a lot about his frameworks and tips, which were ultimately useful for my actual onsite intervi…

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Jayakrishnan

Data Scientist at Twitter, USA

Sundeep provided me a high-quality mentoring/mock interview sessions specifically tailored around my Twitter DS interview I was gonna face. Sundeep is very knowledgeable in what he's doing and asked very interesting questions around many ML topics as…

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Michael

Research Scientist at Apple, USA

I worked with Sundeep for my FAANG interview preparation. I wanted someone to help me with managing my stress and explain to me how interviews work within FAANG. Sundeep has a lot of experience and he was able to educate me on how to approach my inte…

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Alex

Applied Scientist, Amazon, USA

I find that Sundeep is very easy to approach and friendly to talk. Sundeep indeed helped me a lot for the interview preparations, especially in the area of ML system design and behavior questions. He helped me to set up a mindset that there is a sign…

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Truong

Data Scientist at CH Robinson, USA

As someone who just transitioned to data science, it was hard for me at times to determine what I should focus on to get a first job that fits my strengths. After conducting an initial interview with me, Sundeep created a personalized plan for me to …

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Pruthvi

Data Scientist at LinkedIn, USA

Sundeep was extremely helpful during my job interview prep. I found the ML design discussions with him very fruitful. These are very useful in improving holistic thinking, understanding how things work in production and thinking about trade offs. The…

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See my complete Wall of Love go to link

Data Science Career Accelerator

Join the waitlist to be notified when enrollments open for the next cohort.

Join the waitlist to be notified when enrollments open for the next cohort.

Frequently Asked Questions

Does this course guarantee me a job?
What are the benefits of doing this course?
I have a full-time job. Will I get enough time to take this course?
Do I have to attend all of the live sessions in real-time?
How will the course be conducted?
Which companies are the hiring partners for this course?
What are the payment options available?
Can I cancel or apply for a refund after payment?
Any further questions?
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