$480 / month
2 calls per month (55min/call)
Unlimited Q&A via chat
Expect responses in 2 days
One-off sessions with Amrita
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
Whatever doesn't fit the mold: Get 30 minutes with a mentor to discuss your needs. Be it help with some code, discussing through an issue with your business, help for something at work or an issue with a project.
Sometimes, a strategy is needed to accomplish a future career change, or simply to get further in your current position. Should you go back to school? Look for a new job? Learn a new set of skills by yourself? Become a freelancer? One of our …
Some big interviews coming up? In this 1-hour session, a mentor with hiring experience will act as a technical interviewer and ask you some standard hiring questions that you might hear in one of your future interview too, and will evaluate your replies. As a …
Whatever doesn't fit the mold: Get a full hour with a mentor to discuss your needs. Be it help with coding something, deciding on a strategy for your business, pushing your career forward or help with a project. If you don't know whether what you …
What's included in the trial?
Every trial is a little different—here’s what Amrita says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods
I have worked at Microsoft, Chan Zuckerberg Technology (formed & came out of Meta/Facebook, and has the same founder), Skype, and academic institutions Stanford & Berkeley. I built teams and products in the consumer and enterprise tech, managing data science and ML science teams and leaders to enable data-driven product and business decisions.
I have mentored 50+ Data Science & Engineering ICs and managers in Tech, who have grown in their careers and navigated difficult situations with the help of my mentorship. I cover (1) leadership coaching and mentorship, navigating difficult conversations & situations, solving organizational situations to grow in career, (2) how to grow in data science & engineering IC and leadership roles, and (3) mock interviews to land data science roles in Tech. I have also mentored many PMs, who have grown with my mentorship in the topic (1).
Note: In these sessions, I won't be giving regular tutorials and hands-on exercises on data science, ML, and will only be focusing on the above topics. If related to the coaching conversations, I can share external resources for those tutorials.
5 out of 5 stars
I've been working with Amrita for over half a year now and can highly recommend her. She's a great listener with a lot of leadership experience, and always has actionable advice and a relatable story or experience to share. Her feedback helped me act more confidently and decisively, and be self-aware about my own position, shortcomings, and needs to grow. I can fully recommend working with her.
5 out of 5 stars
Amrita is an accomplished leader who truly enables her mentees to reach their goals. Amrita provided many actionable suggestions in areas such as Managing up and stakeholder management through her vast experience in multiple disciplines. I would highly recommend Amrita for anyone looking for professional mentoring and guidance.
5 out of 5 stars
I have enjoyed working with Amrita. With her experience at all levels of Data Science organizations, she knows what it takes to succeed and progress in a Data Science career. Amrita was able to give me guidance and perspective, helping me realize some of the things I perceived as weaknesses were actually strengths, and also helping me uncover possible avenues of where to go next so I can keep growing. I'm really looking forward to working with her more.
Notify me when Amrita has new spots
We will send you a quick email if Amrita has new open spots for mentorship, and only in that case!
Book a free intro call with Amrita
Connect with Amrita in a quick call (usually under 30 minutes)
