Founder @AureliusTalent — AI career intelligence for Indian job seekers. Building solo, shipping fast.

Rishabh Misra  • Peerlist

<h3>A comprehensive AI-powered career intelligence suite designed for Indian job seekers.</h3><ul><li>Job Description (JD) Analysis: Decode job descriptions to understand employer expectations, identify critical vs. nice-to-have skills, and extract ATS keywords.</li><li>Resume Intelligence: Analyze your career trajectory, skill freshness, promotion velocity, market position, and identify potential career risks.</li><li>Seeker Intelligence: Determine your suitability for a job, providing a verdict on whether to apply confidently, prepare further, or avoid the role.</li><li>Gap Intelligence: Pinpoint the exact gaps between your profile and the ideal candidate, outlining hiring objections and creating 90/180-day preparation roadmaps.</li><li>Interview Intelligence: Generate targeted interview preparation plans, anticipate risk questions, and understand evaluation criteria for any role.</li></ul>AureliusTalent goes beyond simply listing jobs; it provides the intelligence needed to navigate the job market effectively. By analyzing job descriptions and your resume, it helps you understand what truly matters, what interviewers will probe, and whether you should apply. The platform offers a semantic match score, insights into your career progression, and actionable steps for improvement.Powered by Gemini Flash, AureliusTalent aims to cut through the noise and provide clear, actionable insights for job seekers looking to secure their desired roles.

AureliusTalent — AI Career Intelligence Suite

This project presents an interactive Power BI dashboard analyzing sales, product categories, outlet performance, and customer ratings for Blinkit. It empowers stakeholders to make data-driven decisions by highlighting trends in sales, outlet size/location, and product demand.

Blinkit Sales Analytics Dashboard

Maven Roasters is experiencing inconsistent sales trends across its three New York City locations — Lower Manhattan, Hell’s Kitchen, and Astoria. Management wants to understand which factors are driving sales performance, identify top-performing products, and uncover patterns in customer purchasing behavior. The leadership team aims to make data-driven decisions on staffing, inventory, promotions, and product offerings to improve profitability and customer satisfaction.