Hi, I'm Sabeeh —
Data Analyst & Backend Engineer focused on uncovering insights, building dashboards, and shipping data pipelines that actually work. Currently based in Bangalore.
I'm a Data Analyst & Backend Engineer who loves digging into messy datasets and pulling out the story. Most of my work involves exploratory analysis, building dashboards, and writing the backend code that puts insights into people's hands.
I'm studying at Dayananda Sagar College of Engineering in Bangalore. Outside of coursework, I've been working on data-driven projects — from analyzing medical imaging datasets to building platforms that solve real problems.
I care a lot about clean code, reproducible analysis pipelines, and visualizations that actually communicate — not just look pretty in a notebook.
Ensemble deep learning model combining EfficientNetB4, ResNet152, and DenseNet201 with CBAM and SE attention. Trained on MIAS and INbreast datasets, targeting 97.59% diagnostic accuracy to help reduce false-negatives in early-stage mammography screening.
Medical image classification API with Grad-CAM explainability. Containerized with Docker, deployed on GCP Cloud Run for low-latency inference at scale.
Platform connecting food industry surplus with NGOs to reduce waste. Handles donor-to-recipient logistics for communities in need.
Command-line tool to split large files into chunks and merge them back. Minimal dependencies, built for managing large datasets.
Exploratory data analysis, statistical modeling, and clear reporting. Turning raw datasets into actionable business insights.
Interactive dashboards and data visualizations using Python, Plotly, or web-based tools. Built for stakeholders to actually use.
Flask/Python REST APIs serving data products, analytics endpoints, or integrating with front-end apps.
Automated data ingestion, cleaning, and transformation pipelines. From raw data to analysis-ready datasets.
Need someone to make sense of your data, build a dashboard, or wire up a backend API? Drop me a line.
Lemontree7981@gmail.com