Aakash Ramawat — Associate Consultant

I work at the crossroads of data, product, and applied machine learning—building tools that don’t just work, but make a real impact. From developing supervised models that drive loan recovery strategies to automating analytics pipelines and building intelligent assistants, I enjoy solving practical problems with a blend of engineering and ML thinking. My experience spans across experimentation, user behavior analytics, and ML modeling. At Groww, I’ve led initiatives that combine risk modeling, operations, and dashboarding to streamline loan recovery. Whether it’s predicting bounce rates or profiling high-risk defaulters, I’ve worked on solutions that balance accuracy, scale, and clarity. Outside of work, I’ve built AI tools using LangChain and LLMs, created Q&A bots over documentation, and explored ways to turn unstructured data (like LinkedIn profiles) into structured insights. I also enjoy designing systems from scratch—whether it’s a gamified productivity platform for students or a model pipeline crunching millions of data points. I thrive in fast-paced environments where I get to wear multiple hats: builder, analyst, collaborator. If the problem is messy and open-ended, even better. I like the challenge of turning ambiguity into something useful. Let’s connect if you’re working on something interesting, or just want to chat about AI, systems, or anything in between.

Stackforce AI infers this person is a Data and AI specialist in EdTech and Fintech sectors.

Location: Jaipur, Rajasthan, India

Experience: 4 yrs 9 mos