Neha Malhan
Data Analyst · Statistical Modelling · Machine Learning · AI
BC, Canada · Open to relocation
Turning complex data into meaningful insights, predictive models, and data-driven solutions.
About
Analytical. Curious. Data-driven.
The path here
IT & Web
2016-2021
Relocated to Canada
2021-2023
Applied Data Science
2024-2026
Data Analyst
Open to opportunities
Data Analyst with a Post-Baccalaureate Diploma in Applied Data Science from Thompson Rivers University. Applies Python, R, and SQL across statistical analysis, inferential modelling, machine learning, AI, time-series analytics, and multivariate analysis. Works with real-world datasets through preprocessing, exploratory analysis, model development, visualization, and analytical reporting to generate insights and support decision-making. Brings 4+ years of prior IT and systems experience, strong process discipline, and a fast learning curve on new tools.
4+ yrs
Prior IT / Systems Experience
2024–26
Applied Data Science, TRU
5
Applied Analytics Projects
Dean's List
Fall 2024 & Fall 2025
Approach
Techniques applied across this portfolio
A quick tour of the methods behind the projects below, from classical statistics to deep learning.
Techniques applied across this portfolio
01 / 05
Statistical Modelling
Fitting models to real data (regression, hypothesis testing, inference) to explain relationships, not just describe them.
Evidence
Featured projects
Applied statistical modelling, machine learning, and AI work, with methodology, results, and limitations documented for each.
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.
Bi-LSTM reached 84% accuracy (F1 0.65) vs. 74% (F1 0.57) for the XGBoost baseline.
View projectComputer 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.
Strongest performance on Marine Water detection (AP 0.63); macro F1 0.19, micro F1 0.23, mAP 0.12 overall.
View projectNLP · RAG
Airline Review Retrieval-Augmented Generation System
Built a retrieval-augmented generation pipeline over airline customer reviews to surface actionable insight from unstructured feedback.
Deployed a working RAG pipeline with vector search, prompt engineering, and a Streamlit interface.
View projectApplied 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.
Shipped a deployed, full-stack academic implementation covering triage through booking confirmation.
View projectStatistical 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.
Produced regression-based findings on land-use effects, visualized for a non-technical audience.
View projectBackground
Experience
A career path from IT systems into applied data science, including the relocation and upskilling period in between.
Aug 2016 – Feb 2017
Website Developer
University Living
Feb 2017 – Mar 2021
Information Systems Analyst
Decimus Techno Hub Pvt. Ltd.
Apr 2021 – Nov 2023
Professional Development & Relocation
Self-directed
Verified
Certifications
Fundamentals of Visualization with Tableau
July 2025
Fundamentals of Deep Learning
NVIDIA · March 2025
Let's turn data into decisions.
Open to Data Analyst opportunities and always happy to connect with recruiters, hiring managers, or fellow data folks.