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Anu Sharma

@anusharma3

Data Science Intern at Housing.com who developed an image-quality pipeline scoring over 3.3 million real estate images.

At Housing.com, I developed a MobileNet-NIMA pipeline to assess real estate image quality. It processed and scored over 3.3 million images across 300,000+ listings.

I also designed a rule-based hero image selection pipeline using image-quality thresholds and marketability constraints, and contributed to the Listing Quality Score model and production-ready cover image selection workflow.

At WNS Global Services, I built a recommendation engine using collaborative filtering, content-based filtering, and association rule mining. Earlier, at Indian Agricultural Statistics Research Institute, I developed a plant disease classification model using transfer learning and MobileNetV3.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Housing.com

Jan 2026 - Present (9 months)

Developed a No-Reference Image Quality Assessment pipeline using MobileNet-NIMA for automated real estate image evaluation. Processed and scored over 3.3 million images across 300,000+ listings and contributed to the Listing Quality Score model.

Python MobileNet NIMA Image Processing Blur Detection Shannon Entropy Feature Extraction OpenCV Deep Learning Computer Vision

Intern Trainee

WNS Global Services

Jan 2025 - Present (1 year 9 months)

Built a recommendation engine using Collaborative Filtering, Content-Based Filtering, and Association Rule Mining. Processed 96,978 retail transactions involving 2,445 customers using Python, Pandas, and scikit-learn.

Python Pandas scikit learn Collaborative Filtering Content Based Filtering Association Rule Mining TF IDF Cosine Similarity

Deep Learning Research Intern

Indian Agricultural Statistics Research Institute

Jan 2024 - Present (2 years 9 months)

Developed a plant disease classification model using Transfer Learning and MobileNetV3 on the PlantVillage dataset. Benchmarked lightweight CNN architectures and performed preprocessing, stratified validation, and confusion matrix analysis.

Python TensorFlow MobileNetV3 Transfer Learning CNN Image Processing Model Evaluation data preprocessing