Hello, I'm
Data Scientist · ML & Data Engineer · SDE
Architecting scalable data pipelines, predictive machine learning systems, and high-performance software solutions.
Computer Science undergraduate at Vellore Institute of Technology, Andhra Pradesh with engineering expertise spanning Data Science, Data Engineering, Machine Learning, and Software Development. I architect end-to-end data pipelines, develop predictive models, and build robust software systems.
Currently working as a Project Fellow in Data Science, conducting applied AI/ML research. Analyzing multi-source datasets, designing experiments across ML models, and contributing to co-authored research manuscripts.
Oracle Cloud Infrastructure Certified Data Science Professional. 1000+ problems solved on LeetCode. Passionate about building systems that are both intelligent and practical.
Remote / Hybrid
Analyzed 2M+ telemetry records to forecast traffic patterns and identify high-risk bottlenecks for emergency services. Built a hybrid predictive model and a recommendation engine for optimizing emergency lane workflows.
AI-powered web application for document summarization. Upload documents and get intelligent, concise summaries. Built with TypeScript and deployed on Vercel.
Deep learning approach to traffic flow prediction using neural networks. Processes spatio-temporal traffic data to model congestion patterns and forecast future conditions.
ML-based prediction system for identifying loan default risk. Feature engineering on financial data, model comparison, and evaluation to optimize lending decisions.
ML-powered crop recommendation engine that suggests optimal crops based on soil and climate parameters. Built with classification models for precision agriculture.
Web-based fitness tracking application for logging workouts, monitoring progress, and visualizing activity data over time.
Full-stack web-based order management system with SQL database integration. Automated real-time updates for order status, inventory, and payments with a normalized schema design.
Raspberry Pi-based device that converts scanned text to speech for visually impaired users. Designed with a headless setup and wireless connectivity for hands-free operation.
Interested in collaborating on research, data science projects, or just want to connect? Feel free to reach out.
rounak.ach@gmail.com