Hey, I am Aarsh!

I'm passionate about using technology to drive business growth. I simplify complex ideas into impactful stories, backed by strategic and analytical thinking.

With a background in product management and Analytics, I’ve developed a strong ability to understand diverse customer needs – asking the right questions and leading with empathy.

Running my own projects and initiatives has sharpened my understanding of growth, innovation, and go-to-market strategies, especially in consumer tech and sales.

Outside of work, I enjoy sports, music, gaming, and adventure-filled travel. My work philosophy? "Trust the process."

Look at my resume!

My career so far!

Digital Product Manager

Kapu Gems - Jan 2025 - Current

Launched an AI-driven customization engine that lets customers visualize the diamonds on jewellery through visual prompts no designer needed. From idea to beta, I owned the roadmap, GTM strategy, and cross-functional execution. The feature is projected to generate $800K in revenue and became a retention engine with 48% reuse in beta.

Product Management intern

Knauf Insulation
Jun 2024 - November 2024

I drove product strategy, competitive analysis, and roadmap execution across multiple stakeholders. Also revamped the NPI stage-gate process, boosting early-stage product velocity by 40%. Finally helped build a customer-facing B2B app from zero, projected to generate $2M+ in new revenue for insulation and accessory sales.

Product Analyst

SAS Nov 2022 - May 2023

Automated seven regulatory risk reports across three banks using SAS Viya and SQL, driving $250K+ in revenue and improving client insights. I translated complex Basel III compliance into data workflows that worked. Bonus: I turned static reporting into real-time dashboards with Tableau and Power BI.

Business Analyst Intern

PolicyBazaar
May 2022 - July 2022

Built lead scoring and fraud detection models across 1.5M+ records/month, improving sales productivity by 20% and saving $500K annually. Used TensorFlow, Spark, and good product sense to make ML useful to non-technical teams. Also shipped an NLP sentiment model with 84% F1 that shaped trader strategy.