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NMNeha Malhan

Evidence

Projects

Each project documents the problem, data, methodology, results, and limitations. Real numbers only, no invented metrics.

Deep Learning · Time Series

Temporal Characterization and Deep Learning-Based Modeling of Human Sleep

Modelled temporal sleep physiology from polysomnography signals and compared deep learning against gradient-boosted sequence models for sleep-stage prediction.

PythonBi-LSTMXGBoostTime Series Analysis

Bi-LSTM reached 84% accuracy (F1 0.65) vs. 74% (F1 0.57) for the XGBoost baseline.

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Computer Vision · Deep Learning

MARIDA: Marine Debris Detection from Sentinel-2 Satellite Imagery

Built a PyTorch multi-label classification model to detect marine debris and ocean-surface features across 15 imbalanced environmental classes from satellite imagery.

PythonPyTorchDeep Learning

Strongest performance on Marine Water detection (AP 0.63); macro F1 0.19, micro F1 0.23, mAP 0.12 overall.

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Reviews
Vector search
LangChain
Answer

NLP · RAG

Airline Review Retrieval-Augmented Generation System

Built a retrieval-augmented generation pipeline over airline customer reviews to surface actionable insight from unstructured feedback.

PythonMongoDB AtlasLangChainLangSmith

Deployed a working RAG pipeline with vector search, prompt engineering, and a Streamlit interface.

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Request
Triage
Pricing
Booked

Applied AI · Full-Stack

Home Services Intelligent Chatbot

Developed a full-stack chatbot for booking home services with intelligent triage, dynamic pricing, scheduling, and bilingual support.

PythonFlaskJavaScriptHTML/CSS

Shipped a deployed, full-stack academic implementation covering triage through booking confirmation.

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Statistical Modelling · R

Impact of Land Use & Habitat Features on Bird Diversity

Applied regression modelling to assess how land use and habitat features affect bird species richness and functional diversity in Northern Italy.

Rggplot2dplyrMASS

Produced regression-based findings on land-use effects, visualized for a non-technical audience.

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