Hello, I'm
Aspiring Technical Product Manager · Data & Software Systems
Bridging engineering depth with user-centric product strategy. Turning ambiguous user needs and complex data into clear product specifications, automated workflows, and high-impact software.
Computer Science undergraduate at Vellore Institute of Technology, Andhra Pradesh with engineering expertise spanning Software Development, Data Analytics, and Product Strategy. I leverage my technical depth to understand complex systems, discover user pain points, and decide what is truly worth building.
Currently working as a Project Fellow in Data Science, bridging technical experimentation with structured deliverables. Analyzing multi-source datasets, identifying root-cause patterns, evaluating technical trade-offs across ML models, and communicating actionable insights to cross-functional stakeholders.
Oracle Cloud Infrastructure Certified Data Science Professional with 1000+ problems solved on LeetCode. Driven by building user-centric products that solve real friction while remaining intuitive, data-backed, and technically scalable.
Remote / Hybrid
AI-powered web product addressing cognitive overload from dense research and technical documentation. Designed an intuitive upload-to-summary user experience with minimal cognitive friction, fast turnaround, and structured insight exports.
Assistive hardware-software product designed to solve text accessibility barriers for visually impaired users. Built as a headless, camera-enabled Raspberry Pi setup converting physical text to real-time audio via earphones for hands-free operation.
Full-stack operational product integrating relational databases to automate customer orders, inventory allocation, and payment lifecycles. Mapped business workflows and edge cases with a normalized schema to eliminate operational bottlenecks.
Analyzed 2M+ spatio-temporal telemetry records to forecast traffic patterns and identify high-risk bottlenecks. Built an automated decision-support recommendation engine to assist emergency service dispatchers in optimizing lane workflows.
Deep learning approach to traffic flow forecasting using neural networks. Evaluated model architectures on spatio-temporal congestion datasets to optimize forecast accuracy.
ML-based risk assessment system evaluating borrower default risk. Formulated credit risk indicators and assessed trade-offs between approval rates and default exposure.
Precision agriculture recommendation system suggesting optimal crop selection based on soil composition and environmental metrics to maximize yield efficiency.
Web-based activity tracker focusing on simplified workout logging, progress visualization, and habit retention through clean UI design.
Interested in discussing product opportunities, building impactful data-driven systems, or just want to connect? Feel free to reach out.
rounak.ach@gmail.com