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Jul 2025 - now - Manager, Data Analytics, Canadian Corporate Tax, Tax Technology - Asset Management Digital Solutions - KPMG Canada - Toronto, Ontario, Canada 🍁🇨🇦

• Architected an enterprise-grade Intelligent Document Processing (IDP) ecosystem for U.S. and Canadian tax forms, combining applied AI (OCR) for deep-learning detection, PDF structural parsing, recognition, classification, and multi-stage data engineering pipelines.
• Spearheaded Azure-cloud-integrated ingestion and extraction workflows using Azure storage and service-based Python, C#, Javascript orchestration, enabling automated object detection, file type classification (tax form vs. non-tax form, form template versions), and high-fidelity structured outputs for downstream analytics.
• Enabled the modernization of tax reporting automation by transitioning fragmented Power BI-driven workflows into robust Alteryx pipelines, enabling scalable, multi-client, multi-form operational efficiency.

Oct 2024 - Apr 2025 - Finance Transformation Analyst, Finance & Controlling - Haventree Bank 🏦 - Toronto, Ontario, Canada 🍁🇨🇦

• Advanced Analytics & Reporting: Supported risk analytics & credit risk team with logical development in Alteryx, Python, Tableau’s KPIs, codes to transform data, plot geospatial visuals, analyze fire weather climate risk & OSFI metrics.
• Data Automation & Workflow Optimization: Designed and deployed Alteryx, Python, SQL workflows to consolidate accounting logics and automate bank account reconciliation, match mortgage, deposit, corporate & funding transactions between banking partners vs. internal general ledger, integrating data from SharePoint, Excel, and SQL databases, improving reconciliation accuracy and efficiency by 90% and reducing manual reconciliation efforts by 70%.
• Collaboration & Governance: Worked closely with accounting, finance teams to deliver data analytics, insights and establish best translated rule-based logic solutions for financial data automation and reconciliation on Alteryx Designer workflows deployed to Alteryx Server.

Apr 2023 - Oct 2024 - Analyst, Business Insights, Accounting, Tax & Finance - Hudson's Bay Company 🛍️ (HBC: Hudson’s Bay, The Bay, Saks Fifth Avenue, Saks Off Fifth) - Toronto, Ontario, Canada 🍁🇨🇦 🇺🇸

• SQL, APA Pipelines & Data Engineering: Built SQL pipelines and automated Alteryx, Dataiku workflows to streamline high-level reporting, reducing manual reconciliation efforts by 70-95%, integrated sources to enhance accuracy for tax & accounting teams, and discuss directly with VP – Tax, DVP – Indirect Tax for reports to CEO, US 🇺🇸, Puerto Rican 🇵🇷 & Canadian 🇨🇦 state & provincial auditors, Big 4 consulting firms: Deloitte, KPMG, EY.
• Machine Learning & AI: Implemented ML models, NLP, Computer Vision in Python to classify tax codes in SKU items in both the US & Canada, identify features from PDF invoices, increasing tax compliance and reducing manual efforts by 60%.
• Data Architecture & Analytics: Cooperated with Data Engineer, Architect to design and develop a Snowflake-based Data Hub to centralize tax data from Snowflake, Oracle for later reporting and analytics, optimizing ETL workflows and reducing reporting errors by 70%.
• Data Visualization & Business Intelligence: Designed Tableau, Power BI dashboards with advanced LOD, DAX, MDX measures, improving engagement and decision-making insights to replace static dashboards provided by Big 4 and save US$20K annually.
• Multiclass Classification & Few-shot LLM Prompting for Tax Code Mapping (e.g., concatenating product transactions to tax logic using OpenAI models, based on retail data) as one of my Classification Modelling layers.
• Tax Slip PDF Signature Detection using pretrained models like fasterrcnn_resnet50_fpn (developed by Microsoft and Meta), helping replicate manual audit marking using computer vision and replace manual tasks on non-structured data files.

Jan 2024 - Dec 2026 - Master of Liberal Arts (ALM), Extension Studies, Data Science, Graduate Student - Harvard University (online part-time evening) - Cambridge, Massachusetts, USA 🇺🇸

From Clusters to Retrieval: Hybrid BERT-Based Taxonomy and Similarity Search for Medical Chatbot Questions (CSCI E-108 Data Mining, Discovery & Exploration):

• Designed and evaluated a multi-version clustering and retrieval pipeline on ~47.5k medical chatbot questions, moving from TF-IDF/LSA + KMeans to BERT+tags with Nyström spectral clustering. Built a production-style hybrid similarity search and reranking stack (BERT dense vectors + BM25 + tag Jaccard) to support intent discovery, taxonomy building, and downstream RAG use cases.

Auto-Tagging Medical Questions with Multi-Label Learning: A Comparative Analysis of NLP-Based Deep Learning Models (CSCI E-89B Natural Language Processing):

• Developed model training pipeline to preprocess, embed, analyze text-based data and predict label for each incoming conversational phrase efficiently and precisely while leveraging statistical metrics for unsupervised evaluation.

🛰️🛸 Satellite & UAV Aerial Image Semantic Segmentation (CSCI S-89 Deep Learning):

• Developed a deep learning project for multi-class semantic segmentation on aerial imagery using fine-tuned PSPNet, UNet, DeepLabV3+, applied to three datasets: UAVID, modified Bhuvan Land Cover, and Dubai semantic tile datasets in disregard to complex ground object types.

📈 Predicting Market Movements and Building Smart Portfolios with SVR, Random Forest, and LSTM Models: Evidence from Five Major Canadian Banks (CSCI S-278 Applied Quantitative Finance and Machine Learning):

• Developed a multi-stage machine learning pipeline combining econometrics, supervised learning (SVR, Random Forest), Deep Learning (RNN, LSTM) and Reinforcement Learning to forecast, classify, and dynamically optimize a portfolio of five major Canadian bank stocks for enhanced returns and controlled risk against stocks' volatility.

🧠 Brain Tumor MRI Image Segmentation & Detection (CSCI E-25 Computer Vision):

• Designed & fine-tuned Deep Learning pipelines (Keras, Pytorch) for MRI image segmentation, leveraging CNNs, U-Net, DeepLab V3+ for high-precision tumor detection regardless of brain artifacts' complexity.

💳 Scalable Cloud-Based Credit Card Fraud Detection GCP AWS (CSCI E-192 Modern Data Analytics):

• Applied modern data analytics and machine learning techniques to detect fraudulent credit card transactions using Google Cloud Platform & AWS. Built on BigQuery, Vertex AI, Dataproc, GCS, EMR, Athena, S3 via PySpark, SQL, the pipeline includes data preprocessing, model training with Random Forest, model evaluation, and deployment for real-time prediction while handling imbalanced data.

📈 Causal Aware Stock Prediction Integrating LSTM and Causal Inference for Tech Sector Asset Evaluation (CSCI S-278 Applied Quantitative Finance and Machine Learning):

• Integrated causal inference and deep learning in Python to improve stock prediction by combining LSTM forecasts with heterogeneous treatment effect models, enabling more confident, personalized trading decisions.

⚕️ Scalable Cloud-Based NLP Text Classification for Clinical Examination (CSCI E-192 Modern Data Analytics):

• Built a real-time Natural Language Processing feedback processing platform using Python, PySpark, SQL integrated with AWS SageMaker, Redshift, Glue, GCP Vertex AI, BigQuery, supporting Doctor to determine medical specialties for patients.

🏡 Housing Affordability Statistical Inferences (CSCI E-83 Fundamentals of Data Science in Python):

• Applied Bayesian causal inference models (pooled, unpooled, hierarchical), Linear Regression, and Maximum Likelihood Estimation (MLE) to analyze key housing affordability indicators and posterior distributions.

🏨 Hotel Daily Room Rate & Booking Cancellation Prediction (STAT E-109 Statistical Modeling in R):

• Implemented XGBoost, Random Forest, and Deep Neural Networks (DNNs) to predict ADR (Average Daily Rate) and booking cancellation probability, and applied logistic regression, hypothesis testing, and ensemble models with increased revenue forecast accuracy using grid search hyperparameter tuning.

Jan 2023 - Apr 2023 - Alteryx Administrator, AWS Cloud Ops Data Migration - Billennium IT Inc 🖥️ for Roche ⚗️ (Swiss BioTech), Data Engineering - Integration, Data Services & Insights Foundational Domain - Mississauga, Ontario, Canada 🍁🇨🇦

• Data Governance & Log Analysis: Monitored and analyzed IT log data from MongoDB on Alteryx Designer to track user activities, workflow hubs, and Alteryx Server performance across Roche’s North America & Europe operations.
• Automation & Performance Optimization: Collaborated with team leader to develop Alteryx-based automatable flows to enhance user’s workflow performance and identify bottlenecks in data processing.
• System Monitoring & Security: Evaluated user authentication, server logs, and data access patterns to ensure compliance with Roche’s data protection standards and global security policies.
• Alteryx Server Administration: Optimized server configurations, managed workflow execution, and collaborated with IT teams to troubleshoot high-performance computing issues.

Jan 2021 - Aug 2022 - Business Insights & Analytics Post-Graduate Program - Humber College - Toronto, Ontario, Canada 🍁🇨🇦

• 🏦 IEEE-CIS Fraud Detection (Capstone, Humber College): - Preprocessed data in Python, designed architecture solution, analyzed performance between ML classifiers to determine the best performers on the imbalanced dataset, Balanced Random Forest with ROC AUC around 0.9 & Random Forest with ROC AUC, Precision around 0.9.
• 👮🚓 Safe Roads 2022 Competition - Toronto Police Service: - Used Power BI, Python, Azure Machine Learning to analyze geospatial datasets, provide interpretation, conduct A/B testing, determine factors, recommend on road conditions, awareness, top fatal intersections to enhance traffic safety, prevent fatal accidents, achieve prediction using Random Forest’s ROC AUC & Precision around 0.8.

May 2022 - Aug 2022 - Data Science Intern (remote) - Cohost AI 🏨 - Toronto, Ontario, Canada 🍁🇨🇦

• Data Pipeline Automation: Automated data ingestion from multiple APIs & databases into Python, SQL, enabling real-time financial reporting, improving analytics accuracy with domain expertise by 40-60%.
• Visualization & Reporting: Created domain-based KPIs to embed with developed interactive Power BI dashboards in advanced DAX to support revenue decision-making, boosting user engagement by 10-25%.

Jan'22 - Apr 2022 - Product Data Analyst Intern - iRestify Inc. 🏢👷 - Toronto, Ontario, Canada 🍁🇨🇦

• Geospatial & Business Intelligence Analytics: Built GIS-based Power BI dashboards to analyze revenue performance by location, optimizing territory-based pricing and operations.
• Data Cleansing & Feature Engineering: Applied Python & SQL for data wrangling, increasing accuracy by 20% for key KPIs.
• Data Automation: Designed workflow automations in Power BI’s DAX and MDX, reducing manual reporting efforts by 30%.

Aug-Dec 2021 - Data Engineering & Analytics Intern (remote) - Center of Talent in AI (CoTAI) 🤖 - Toronto, Ontario, Canada 🍁🇨🇦

• Big Data Engineering: Managed 4M+ data records, optimizing ETL pipelines between Vietnam & North America for Sentiment Analysis & behavior detection.
• Sentiment Analysis & Target Detection: Developed NLP-based classification models in Python to detect sentiment and reaction from customer feedback on e-commerce platforms.
• Visualization & Predictive Insights: Designed Tableau dashboards to track consumer sentiment trends and signals.
• Machine Learning Classification: Compiled Machine & Deep Learning classifiers tackling imbalanced datasets to detect target customers for Banking’s Marketing Targets

Jun 2017 - Jun 2019 - Sales Executive & Sales Coordinator - Sofitel Saigon Plaza 🏨 - Ho Chi Minh City, Viet Nam

• Revenue Forecasting: Prepared, consolidated financial Excel & Power BI reports to track sales performance and forecast departmental revenue targets, supporting executive decision-making and driving quarterly sales growth by 1-10% per account.
• Revenue Generation: Managed key accounts, segments, and markets, consistently meeting and exceeding team & personal revenue targets for approximately 16 months, contributing to 65% of sales duration while consulting with the Revenue team on target settings.

CSCI E-104 Advanced Deep Learning | Spring'26 (graduate) 🚀 CSCI E-94 Fundamentals of Cloud Computing and OpenAI with Microsoft Azure | Spring'26 (non-credit) 🚀 CSCI E-89B Natural Language Processing in Python | Fall'25 ✅ | Grade A (93-100%) CSCI E-108 Data Mining, Discovery, and Exploration in Python | Fall'25 ✅ | Grade A (93-100%) CSCI E-597 Pre-Capstone & CSCI E-599A Capstone | Summer'26 & Fall'26 CSCI S-89 Deep Learning in Python ✅ | Grade A (93-100%) CSCI S-278 Applied Quantitative Finance and Machine Learning in Python ✅ | Grade A (93-100%) CSCI E-25 Computer Vision in Python with Deep Learning, Deep CNN, Transfer Learning, Generative Models ✅ | Grade A (93-100%) CSCI E-192 Modern Data Analytics with Spark Core, Spark SQL, Spark MLLib, GraphX, NLP, AWS, GCP, Python ✅ | Grade A (93-100%) CSCI E-83 Fundamentals in Data Science in Python (computational statistical inference with maximum likelihood, modern resampling methods, and Bayesian models) ✅ | Grade A (93-100%) STAT E-109 Introduction to Statistical Modelling in R ✅ | Grade A- (90-92%) CSCI E-101 Foundations of Data Science & Engineering in Python, SQL, Tableau ✅ | Grade A (93-100%)