I am someone who is deeply curious about how things work and why people use them the way they do. I enjoy sitting with ambiguity, asking thoughtful questions, and slowly shaping clarity through structure and intent. I am the overlap of people, creativity and science, where curiosity meets structure and ideas are turned into decisions
I am comfortable starting with ambiguity and turning it into clear roadmaps, metrics, and outcomes. I work at the intersection of data, machine learning, and product design, building systems that transform raw information into real-time insight. If you’re interested in the tools and software I use, you can check out my uses page.
Outside of work, I’m drawn to things that slow me down and sharpen my perspective. I spend time with photography, long rides, boxing, 3D art and my gym. I enjoy conversations around ideas, physics, philosophy, psychology, and tech. If something here resonates with you, you know what to do 😉
Send me a messageData Science Team in Global Risk Management
Bachelor of Science in Programming and Data Science
Bachelor of Engineering in Industrial Engineering and Management
Machine-learning driven pricing system: elasticity estimation, demand forecasting, and constrained profit optimization for multi-SKU portfolios.
Central placements portal covering eligibility, timelines, company info, roles, and guidance to support 12k+ distributed students.
Flask + React blog platform with JWT auth, media handling, background jobs, and CI/CD on AWS.
A two-stage image enhancement pipeline combining non-local means denoising with Real-ESRGAN to reconstruct high-fidelity 4× super-resolved images from heavily degraded low-light inputs, optimized for perceptual quality and structural consistency.
A deep learning based ASR system for Uyghur by leveraging pretrained speech representations and sequence modeling techniques to minimize character-level transcription errors in a low-resource language setting.
Acomplete ML workflow covering data validation, feature conditioning, and multi-model benchmarking, with a focus on how preprocessing decisions impact model stability, generalization, and interpretability in supervised learning systems.
Roadmap directly mapped to engagement, activation & retention KPIs
Led a product strategy case study focused on Jupiter’s core user segments and engagement funnel. Diagnosed adoption drop-offs across key product flows, translated business goals into measurable product metrics, and designed a phased roadmap prioritizing features with the highest retention and activation upside.
Repeat usage & LTV levers identified across the full customer lifecycle
Analyzed Practo’s medicine ordering journeys to understand low repeat behavior despite strong intent. Identified trust, timing, and habit-formation gaps, and proposed a lifecycle-driven engagement model using reminders, replenishment hooks, and UX nudges tailored to healthcare constraints.
Clear sustainability, cost-efficiency & experience gains identified
Approached the HVAC problem as a consulting engagement by mapping stakeholders, user personas, and sustainability trends. Evaluated automation, energy efficiency, and employee experience drivers, and proposed long-term product and ecosystem enhancements aligned with ESG and cost efficiency goals.
AOV-driven valuation upside modeled across key user segments
Conducted a deep financial analysis of Zomato’s business model by evaluating unit economics, cash flows, and balance sheet health. Linked user personas to revenue behavior and proposed targeted levers to increase Average Order Value and strengthen long-term valuation assumptions.
End-to-end entry roadmap reducing strategic & execution risk
Developed a structured market entry strategy for the EV B2B space by analyzing the opportunity from CEO, CMO, and CFO lenses. Built a strategic roadmap covering positioning, product strategy, go-to-market execution, and financial feasibility for scalable adoption.
Onboarding clarity & session engagement optimized through UX
Diagnosed onboarding and gameplay friction by mapping end-to-end user journeys. Redesigned core flows and screens in Figma with a focus on clarity, comfort, and session depth, ensuring UX decisions directly supported engagement and retention goals.
Retention-focused repositioning strategy for long-term usage
Analyzed why MS Paint retained high recall but low sustained usage in modern workflows. Proposed a feature-led repositioning strategy that preserved simplicity while expanding relevance, use cases, and repeat engagement for contemporary users.
