Aliza Shamsi

I rejected a job offer that was paying me 2x my current salary. Not because I was too picky, but because the job was sold under a false title. It was titled as Data Scientist - Risk Modelling. The JD was full of buzzwords like model building, ML pipelines, product analytics, business impact and what not. Sounded perfect. Almost too perfect. But during the final round, I asked a simple question: “What will my day-to-day actually look like?” The truth? “Mostly sourcing data from public sources, cleaning it, and handing it over to the analytics team.” That’s not data science. That’s data sourcing. And there’s a big difference. Let’s be clear: Misleading job titles are baits. They waste candidates’ time, break trust in the company and derail careers. They exploit ambition, especially for early professionals who're desperate to break into their dream roles. I didn’t say no because I didn’t need the money. I said no because clarity is non-negotiable. Because a 2x salary can’t make up for a 0x learning curve. So here’s my message to anyone applying in this space: Ask directly: “What exactly will my day-to-day look like?” Don’t be blinded by big titles and big numbers. Your first few roles shape your career. Don’t let anything dull your edge. And to companies: Stop overpromising in your JDs. Not every Excel job needs to be labelled as Analytics. Not every scraper role is AI-enabled. Let’s build careers on truth, not tricks. Please. #dreamsanddoubts

I've compiled my personal hand written notes which I used during my placement preparation. Just to give you an overview, this compilation typically covers Statistics, Aptitude, Case studies, Python, SQL, etc. These notes aren't exhaustive, but will aid you in preparing for job roles like Data Scientist, Data Analyst, Risk Consultant, Business Analyst and the likes. Unfortunately, I can't attach the entire folder here with this post. So, if you're interested in getting your hands on the scanned notes, drop in your emails in the comments, and I'll share them there. For any further help regarding your resume, mock interviews, or career preparation in general, feel free to connect via a topmate call. Happy placement preparation:) #dreamsanddoubts

I received 3 placement offers worth more than 40 lacs. For the purpose of confidentiality, lets say the Companies were A, B and C. Brand wise: A < B < C CTC wise: A < B < C Operation wise: A < B < C Growth wise: A < B < C Makes obvious sense to join C right? But I ain't. Because, Culture wise: C < A < B People wise: C < A < B Role wise: C < A < B Flexibility wise: C < A < B I chose role over growth. I chose culture over salary. I chose comfort over perks. I chose B. P.S. I am very excited to reveal what B stands for. Do check out my post this monday on #dreamsanddoubts