Data Scientist Machine Learning

Brian Chen

*******@*****.*** 703-***-****

Data Scientist with 20 years of professional experience in planning and leading software development, data architecture, SQL management, ETL process development, and machine learning on a wide-range of IT projects to support Federal Government clients, including Financial Crimes Enforcement Network (FinCEN), Drug Enforcement Administration (DEA), Defense Counter Intelligent Agency (DCSA), Customs and Border Protection (CBP), Department of Veteran Affairs (VA), National Institutes of Health (NIH), Federal Trade Commission (FTC), and Department of Defense (DOD). Experience in diverse industries including marketing research, LIMS (Laboratory Information Management System) forensic DNA analysis (CODIS), fraud detection, anomaly detection, Natural Language Processing (NLP), Adavana platform, Graph Network Analysis.

EDUCATION AND TRAINING

University of Georgia, Athens, GA

Master of Applied Mathematical Sciences, Computer Science

Master of Science, Statistics

Microsoft Certified: Azure AI Fundamentals

Google Cloud: Introduction to Generative AI completion Badge

CLEARANCE

Active DOD Top Secret

TECHNICAL SKILLS

As a Technical Lead, I possess extensive knowledge and expertise in data science and analytics, including Python programming, PL/SQL, deep learning, NLP, name entity recognition (NER), relation extraction and anomaly detection; with hands-on experience in data modeling, metadata repository, business intelligence, data integration, data cleansing, workflow design, reporting, and data warehousing.

I am also skilled in Neo4j Graph Database, Anaconda/Spyder, Scikit-learn (logistic, regression, decision tree, random forest, neural network), and ML packaging (Pyinstaller). Additionally, I have experience in ML model interpretability using LIME and SHAP. My proficiency extends to programming languages such as Cypher and PySpark, VBA, Tableau, RAG (Retrieval-Augmented Generation), LLM (OpenAI, Llama3), Prompt Engineer, and local LLM integration with PDFs using LangChain, as well as various database management systems including Oracle, MySQL, T-SQL, and ETL tools like SSIS, SSAS, SSRS, and SAS Enterprise Guide.

WORK EXPERIENCE

Nyla Technology Solutions. June, 2024 – Present

Pentagon, Chief Digital and Artificial Intelligence Office, Senior Data Scientist

• Lead stale data analysis to clean up data to reflect current status, and better decision-making

• Collected JCIDS timeline, activity type, document type for KPI analysis.

• Developed KPI matrices for tracking JCIDS document timelines

• Applied python, sql, spark on nipr and sipr databricks, advana platform to develop KMDS KPI on JROC modernization efforts.

• developed pytest pipeline in databricks to catch test function, input/output, and results

Vsolvit LLC. Sep, 2021 – Mar, 2024

Drug Enforcement Administration, Department of Justice, Lead Data Scientist

• Lead data science efforts to analyze the Drug Enforcement database

• Trained NLP spaCy models with Python to extract Name Entity Resolution (NER) and Relation extraction from DEA reports to inject into Elastic search, and IBM I2

• Packaged ML spaCy model for deployment

• Conducted graphic analytics using python and networkx package to locate communities

• Compiled research results in PowerPoint and hosted weekly AI meetings with Section/Unit Chief.

Insight Global LLC. Feb, 2021 – Aug, 2021

U.S. Customs and Border Protection (CBP), Senior Data Scientist

• Lead data science efforts on the CBP passenger target model project

• Collaborated with mission stakeholders to define, frame, and scope mission challenges

• Briefed project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development.

Kforce Mar, 2020 – Feb, 2021

Defense Counterintelligence Agency (DCSA), Senior Data Scientist

• Lead data science efforts on DCSA projects

• Presented research results and brainstormed ideas with government lead on a weekly basis

• Interpreted ML models using SHAP and LIME

• Compiled, packaged, and deployed ML models to production.

Cornerstone Defense LLC Feb .2017 – Feb. 2020

Financial Crimes Enforcement Network, Department of Finance, Senior Data Scientist

• Lead ML team and mentored programmers on project progress

• Presented research results and brainstormed ideas with FinCEN CTO on a weekly basis

• Conducted data quality analysis on BSA data for anomaly detection

• Programmed in SAS, Python, and Machine Learning packages to analyze BSA data for forecasting and fraud detection

• Analyzed BSA text data using NLP to identify emerging topics

• Applied Neo4j Graph database and graph theory to identify suspicious clusters and activities

• Performed Entity-Resolution using NTLK and other packages.

Booz Allen Hamilton, Lead Technologist Oct. 2005 – Jan. 2017

• Designed and implemented automated recursive data checking procedures for hierarchy data, resulting in significant improvements in data accuracy and completeness

• Updated data schema to improve data performance and eliminate duplicate/incorrect data

• Created informatica packages and PL/SQL packages to migrate data between databases for FDA CDAR

• Led ETL team to migrate data from eDiscovery Concordance data to ZyLAB SQL database for Federal Trade Commission

• Provided user training on updating inconsistent data and data recovery for Federal Trade Commission

• Managed SQL server space, performed database upgrades/patches, and provided general database monitoring as SQL DBA/SSRS Lead for National Children’s Study Information Management System (NICHS)

• Developed SSIS tasks to extract-transform-load data between database servers for NICHS

• Designed and developed complex reports for clients to monitor status and data collection activities as SSRS Lead for NICHS

• Provided help desk production support to resolve data errors and operation errors for NICHS

• Developed T-SQL, stored procedure, and view, and executed scripts provided by the development team in test environments for NICHS

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