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John Kramarczyk, D.Eng., Cissp Email & Phone Number

Lead Advanced Data Scientist and Researcher at Booz Allen Hamilton
Location: Washington, District Of Columbia, United States 13 work roles 3 schools
1 work email found @infosys.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Lead Advanced Data Scientist and Researcher
Location
Washington, District Of Columbia, United States
Company size

Who is John Kramarczyk, D.Eng., Cissp? Overview

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Quick answer

John Kramarczyk, D.Eng., Cissp is listed as Lead Advanced Data Scientist and Researcher at Booz Allen Hamilton, a company with 39269 employees, based in Washington, District Of Columbia, United States. AeroLeads shows a work email signal at infosys.com and a matched LinkedIn profile for John Kramarczyk, D.Eng., Cissp.

John Kramarczyk, D.Eng., Cissp previously worked as Lead Advanced Data Scientist at Booz Allen Hamilton and Data Scientist at Booz Allen Hamilton. John Kramarczyk, D.Eng., Cissp holds Doctor Of Engineering (D.Eng.), Cybersecurity Analytics from The George Washington University - School Of Engineering & Applied Science.

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Email format at Booz Allen Hamilton

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*@infosys.com
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AeroLeads found 1 current-domain work email signal for John Kramarczyk, D.Eng., Cissp. Compare company email patterns before reaching out.

Profile bio

About John Kramarczyk, D.Eng., Cissp

Seasoned data scientist specializing in AI/ML and cybersecurity analytics, with a proven track record of leading strategic initiatives and developing advanced machine learning solutions. Currently serving as a Lead Advanced Data Scientist and Senior Key Personnel at Booz Allen Hamilton, John has led AI/ML projects for the Office of Naval Research and NAVSEA. John’s work has significantly enhanced operational efficiency, including reducing analysis time by 95% and saving approximately 10,000 hours through custom NLP pipelines and secure AI applications.In academia, John is a Professorial Lecturer at The George Washington University's School of Engineering and Applied Science, where he designed and delivered a graduate-level course on Python Applications in Data Analytics for the Master of Engineering in Artificial Intelligence and Machine Learning program.Certified as a Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Linux+, and Security+, John possesses a robust skill set that includes Python, TensorFlow, PyTorch, LLM and NLP techniques, AWS services, Docker, and more. His experience spans various industries such as defense, healthcare, and finance, where he has developed advanced AI/ML models, optimized data pipelines, and implemented secure systems.John holds a Doctorate in Engineering in Cybersecurity Analytics from The George Washington University. His doctoral research focused on utilizing liquid neural networks to detect and classify malware on healthcare IoT networks. He also earned a Master's degree in Data Science with a specialization in AI/ML from Northwestern University and a Bachelor's degree in Business Administration from North Park University.Additionally, John serves on the Advisory Board at the University of San Francisco, contributing expertise to shape the future of AI education and research.Email: johnkdata.ai@gmail.com

Listed skills include Spyder Ide, Leadership, Information Technology, Information Systems, and 46 others.

Current workplace

John Kramarczyk, D.Eng., Cissp's current company

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Booz Allen Hamilton
Booz Allen Hamilton
Lead Advanced Data Scientist and Researcher
Washington, DC, US
Website
Employees
39269
AeroLeads page
13 roles

John Kramarczyk, D.Eng., Cissp work experience

A career timeline built from the work history available for this profile.

Lead Advanced Data Scientist

Current

Mclean, VA, US

  • Leading AI and data science application development and integration with cross-functional team of 13 scientists, engineers, developers, and analysts
  • Pioneered the development of custom Large Language Models (LLMs) leveraging proprietary ONR data, improving strategic decision-making processes
  • Spearheading AI-driven strategic initiatives
Jul 2023 - Present

Data Scientist

Mclean, VA, US

  • Developed custom semantic textual similarity (STS) model with MPNet transformers, potentially reducing end-user analysis time by 95% to save ~10,000 hours of manual analysis
  • Led 4 intern developers to finetune on-prem LLM application
  • Consulted with HackerRank as A.I. Subject Matter Expert to develop firmwide BoozAllen Digital Badging Assessments for Practitioner and Expert level A.I. certificationbadging exams, validating internal workforce talent
  • Machine Learning, NLP, and Deep Learning for DoD client and DarkLabs
Mar 2022 - Jul 2023

Professorial Lecturer

Current

Washington, DC, US

  • Professorial Lecturer in Engineering Management and Systems Engineering
  • Teaching SEAS 6414 Python Applications in Data Analytics in the Master of Engineering in Artificial Intelligence and Machine Learning program
  • Authored the SEAS 6414 course syllabus, outlining key learning objectives, weekly topics, assignments, and assessment criteria
Aug 2024 - Present

Advisory Board Member

Current

San Francisco, CA, US

  • Serving as A.I. thought leader, providing visionary guidance and expertise to faculty and students, shaping the future of A.I. education and research
  • Catalyzing industry-academia collaboration to ensure Strategic A.I. program remains cutting-edge, relevant, and impactful in real-world applications
  • Elevating Strategic A.I. program quality through rigorous, data-driven curriculum assessments, driving innovation, relevance, and alignment with industry
May 2024 - Present

Software Engineer

Dallas, Texas, US

Dec 2021 - Feb 2022

Data Engineer

Chicago, IL, US

  • Developed Airflow DAGs to automate breach monitoring within CIT fund trades.
  • Optimized breach monitoring DAGs with AWS S3, AWS Lambda, and Tableau APIs.
Nov 2021 - Dec 2021

Machine Learning Engineer

Bangalore, Karnataka, IN

  • Developed an automated anomaly detection tool with deep learning models.
  • Highlighted security issues with CNN, RNN-LSTM, RNN-GRU and RNN+CNN models.
  • Automated anomaly detection in pen-testing with above deep learning models in source code.
  • Experimented above anomaly detection tool in source code with GNN models.
Aug 2021 - Nov 2021

Data Scientist

North Chicago, Illinois, US

  • Reduced quality assurance defect text analyses from ~80 hours to ~60 seconds with Python.
  • Developed custom NLP keyword search and tagging automation model with Python.
  • Analyzed and visualized key employee auto data from 2016-2021 with Python.
  • Identified key data factors to reduce auto incidents with prescriptive model.
  • Assisted in development of recommendation engine POC in R using User-Based Collaborative Filtering (UBCF) to suggest metric pages based on web user activity.
May 2021 - Aug 2021

Service Coordinator/It Administrator

Albuquerque, NM, US

  • Successfully deployed and configured new computer systems, ensuring proper installation, network connectivity, software updates, and compliance with HIPAA regulations to support the efficient operations of the.
  • Increased new billing by 60% by effectively matching patient needs to therapists while upholding strict privacy and security standards and the secure handling of patient data and sensitive data to remain compliant with.
Oct 2019 - May 2021

Business Systems And Operations Assistant

Malibu, CA, US

  • Developed and implemented a comprehensive monthly financial data substantiation lifecycle for 15 Resident Directors
Jul 2018 - May 2019

Legal Assistant

Chicago, IL, US

  • Exceeded weekly case management goals of ~100 files for 3 Attorneys and 3 Judges.
  • Eliminated 3-yr bottleneck in-office data management with Full Court CRM
Jan 2017 - Feb 2018

Lead Technology Consultant

Ridgefield Park, NJ, US

  • Transformed underperforming store, improving sales performance from 84% to 106% within a mere 2 months.
  • Successfully drove district sales growth by 23% within a short span of 2 months, surpassing targets consistently for 6 consecutive months.
Mar 2013 - Jul 2016
Team & coworkers

Colleagues at Booz Allen Hamilton

Other employees you can reach at boozallen.com. View company contacts for 39269 employees →

3 education records

John Kramarczyk, D.Eng., Cissp education

Doctor Of Engineering (D.Eng.), Cybersecurity Analytics

The George Washington University - School Of Engineering & Applied Science

Master Of Science (M.S.), Data Science, Artificial Intelligence

Northwestern University

Bachelor Of Arts (B.A.), Business Administration

North Park University
FAQ

Frequently asked questions about John Kramarczyk, D.Eng., Cissp

Quick answers generated from the profile data available on this page.

What company does John Kramarczyk, D.Eng., Cissp work for?

John Kramarczyk, D.Eng., Cissp works for Booz Allen Hamilton.

What is John Kramarczyk, D.Eng., Cissp's role at Booz Allen Hamilton?

John Kramarczyk, D.Eng., Cissp is listed as Lead Advanced Data Scientist and Researcher at Booz Allen Hamilton.

What is John Kramarczyk, D.Eng., Cissp's email address?

AeroLeads has found 1 work email signal at @infosys.com for John Kramarczyk, D.Eng., Cissp at Booz Allen Hamilton.

Where is John Kramarczyk, D.Eng., Cissp based?

John Kramarczyk, D.Eng., Cissp is based in Washington, District Of Columbia, United States while working with Booz Allen Hamilton.

What companies has John Kramarczyk, D.Eng., Cissp worked for?

John Kramarczyk, D.Eng., Cissp has worked for Booz Allen Hamilton, The George Washington University - School Of Engineering & Applied Science, University Of San Francisco, Nvenue, and Harbor Capital Advisors, Inc..

Who are John Kramarczyk, D.Eng., Cissp's colleagues at Booz Allen Hamilton?

John Kramarczyk, D.Eng., Cissp's colleagues at Booz Allen Hamilton include Chris Stoinoff, Ryan Warnock, Monika Tuchowska, Christopher Finkle, and Browne Joe.

How can I contact John Kramarczyk, D.Eng., Cissp?

You can use AeroLeads to view verified contact signals for John Kramarczyk, D.Eng., Cissp at Booz Allen Hamilton, including work email, phone, and LinkedIn data when available.

What schools did John Kramarczyk, D.Eng., Cissp attend?

John Kramarczyk, D.Eng., Cissp holds Doctor Of Engineering (D.Eng.), Cybersecurity Analytics from The George Washington University - School Of Engineering & Applied Science.

What skills is John Kramarczyk, D.Eng., Cissp known for?

John Kramarczyk, D.Eng., Cissp is listed with skills including Spyder Ide, Leadership, Information Technology, Information Systems, Pandas, Salesforce Lightning, Amazon Web Services, and Data Science.

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