Graduating and unsure which jobs to target or how to land them? I offer free mentorship to help tech & data students cut through the noise and get hired with clarity and confidence.
Hi, I'm Anjalika! 👋 I have 6 years of experience in analytics, and today I work as a BI Engineer at AWS — but it didn't start that smoothly.
Back in 2019, when I was graduating with my Business Analytics degree, I opened LinkedIn and was immediately hit with a wall of job titles — Data Scientist, Data Engineer, Data Analyst, Business Analyst, BI Developer... I had no idea what any of them really meant or which one was right for me.
So I did what most of us do — I tried to build all the skills at once. SQL, Python, machine learning, Tableau, cloud, statistics... everything, all at the same time, with zero direction. It was overwhelming, exhausting, and honestly set me back more than it helped.
I'm here because I know exactly how you feel right now. That confusion, that pressure to figure it all out — I've been there. And I don't want you to waste the time I did. I'll help you cut through the noise, find the role that actually fits you, and give you a clear path to get there. No guesswork, no overwhelm — just someone who genuinely gets it. 🚀
Identify which data & tech roles align with your skills and goals.
Real experience from inside AWS and the tech industry.
SQL, Python, case studies, and behavioral rounds — all covered.
Resume, referrals, networking, and offer negotiation guidance.
Fill out a quick form about your background, goals, and the kind of roles you're targeting.
A 30-min session to understand where you are and where you want to go. No fluff.
Together we map out the roles, skills, and timeline that make sense for you specifically.
Weekly sessions, mock interviews, resume reviews, and real-time feedback until you get the offer.
Not sure which direction to go? This one-time deep-dive maps your skills to the right roles in tech & data.
End-to-end prep for data & analytics interviews — from resume to offer letter.
Ongoing support for active job seekers — regular check-ins, feedback, and accountability.
A plain-English breakdown of the three most common entry paths in data — and how to choose yours.
From window functions to CTEs — the patterns that show up again and again in real interviews.
Inside perspective on how Amazon, Google, and Meta evaluate early-career data candidates.
This mentorship is completely free. Fill out the form and I'll reach out to schedule a chat — no strings attached.