Selected Work

This section highlights selected professional, research, and applied data science work. It is intentionally company-agnostic: the examples show the kinds of problems I work on across financial services, consulting, healthcare, analytics, and research.

Current role

Financial Crime Machine Learning

Data Scientist · May 2025 - Present

Applying ML, SQL-driven behavioral analytics, Power BI dashboards, MLOps, and GenAI prototyping to financial crime and AML decision support.

FinCrime MLAMLMLOpsPower BI

Enterprise delivery

Data & AI Consulting

Microsoft · Sept 2022 - Apr 2025

Designed and delivered cloud-based data, analytics, and AI solutions while supporting SOW scoping, stakeholder advisory, and Responsible AI adoption.

AzureSOW scopingNLPResponsible AI

Healthcare AI

Motion-Based Delirium Detection

Philips · Jul 2021 - Aug 2022

Used accelerometer and 3D depth camera data to derive and benchmark motion features, translating complex model insight into healthcare recommendations.

HealthcareComputer visionFeature engineering

Publication

Visualizing Dynamic Graphs

Creator · Feb 2020 - Jun 2020

Designed and implemented an overview-based interactive visualization tool for temporally long dynamic graph sequences.

VisualizationResearchPublication

Technical depth

Data Mining

Contributor · Nov 2021 - Present

Projects covering similar documents, frequent itemsets, data streams, graph spectra, and k-way graph partitioning using JaBeJa.

Data miningGraphsAlgorithms

Data engineering

Big Data Management

Contributor · Apr 2021 - Jul 2021

Used Spark for massive data processing and discovery of minimal non-trivial functional dependencies and soft dependencies.

SparkBig dataData quality

Streaming analytics

Data Intensive Computing

Contributor · Aug 2021 - Oct 2021

Built labs with HDFS, HBase, Hadoop, MapReduce, Spark, streaming analytics, GraphX, and Bitcoin price prediction.

SparkStreamingSentiment