Data Scientist · AI Engineer · Data Analyst
Building intelligent systems at the intersection of data, machine learning, and engineering. Turning raw data into decisions that matter.
I'm Aishrica Dhiman — a Data Scientist, AI Engineer, and Data Analyst currently pursuing my MSc in Data Science at IIIT Lucknow, one of India's premier technical institutions.
I work across the full data stack — from building robust data pipelines to training machine learning models to crafting analytical dashboards that communicate insight clearly and beautifully.
My passion lies at the intersection of rigorous engineering and creative problem-solving — designing systems that don't just process data, but generate genuine understanding.
End-to-end automated data pipeline with real-time ingestion, transformation, and loading capabilities. Handles high-velocity data streams with fault tolerance and monitoring.
Fine-tuned transformer-based model for multi-class sentiment analysis with 95%+ accuracy on benchmark datasets. Deployed as a REST API for real-time inference.
Interactive business intelligence dashboard featuring predictive models for forecasting KPIs. Integrates ML predictions with historical trend analysis in an intuitive visual interface.
Deep learning solution for image classification and object detection. Built with custom CNN architecture and transfer learning, optimized for edge deployment on resource-constrained devices.
Pursuing a rigorous postgraduate programme covering statistical learning, deep learning, big data systems, and advanced algorithms. Working on research projects involving AI-driven applications and large-scale data processing.
Designed and deployed machine learning models and AI systems for real-world applications. Worked on the full ML lifecycle from data collection and preprocessing through model training, evaluation, and production deployment.
Conducted exploratory data analysis, statistical testing, and business intelligence reporting. Delivered actionable insights through compelling visualizations and clear storytelling with data.
Architected and maintained data pipelines for ingesting, processing, and storing large datasets. Optimized query performance, managed databases, and built infrastructure supporting downstream analytics and ML workloads.
Open to research collaborations, internships, full-time roles, and interesting data/AI projects. Always happy to connect with fellow builders and curious minds.