Data Analyst
Resume:
Daniel C. Marian
Charlotte, NC *****
Cell: 704-***-**** Email: ******.*********@*****.***
LinkedIn: daniel-marian-140949226 GitHub: daniel-m7
OBJECTIVE & SUMMARY
Junior Data Analyst with strong data visualization and analytical skills
Daniel is a motivated data analyst with hands-on experience in creating data-driven insights through interactive dashboards and reports using Power BI. Skilled in SQL for data extraction and transformation, he has a keen eye for data quality assurance and collaborative problem-solving. Proficient in DAX for complex calculations and data modeling, Daniel is committed to leveraging data to support business decision-making.
TECHNICAL SKILLS & CERTIFICATIONS
Languages/Tools: Python, SQL, Power BI, Excel, C++Jupyter, Pandas, Docker, Power Query (M language), Cypher
Databases: PostgreSQL, SQL Server, MySQL, Neo4j, NetworkX, Milvus
AI & Machine Learning: LangChain, OpenAI, Prompt Engineering, Machine Learning Pipeline Development, Hugging Face
Cloud/DevOps: Azure, Linux, GitHub, GitLens, GCP
Certifications:
Neo4j Certified Professional – July 2024
Microsoft Azure AI Fundamentals Certified (AI-900) – August 2024
Microsoft Azure Fundamentals Certified (AZ-900) – September 2024
Kaggle GenAI Intensive Capstone
oPreparing for Microsoft Certified: Power BI Data Analyst Associate- with the goal to become certified by May 2025
EDUCATION
Bachelor of Science, Computer Science, Cybersecurity
Liberty University, September 2020 to May 2024
Relevant coursework: Cybersecurity Fundamentals, ML Pipeline Development, Secure Software Development Lifecycle, Network Architecture, Linux Fundamentals, C++ Data Structures, SQL, Java Fundamentals
EXPERIENCEOpenControls – Knowledge Graph Engineer Apprenticeship
Open-Source Startup Project November 2024 – February 2025
Contributing to the development of a GRC assistant for mapping enterprise GenAI compliance controls using Neo4j and OpenControls knowledge graph.
Leveraging GenAI assistant to map NIST AI RMF Playbook, MITRE Atlas, and OWASP Top 10 for LLM apps to Open Controls Capabilities and deploying to Stardog cloud as a knowledge kit called OpenControls knowledge graph reference implementation.
Enhancing enterprise capabilities by integrating MITRE ATT&CK, MITRE DEFEND, and NIST frameworks into asset control mapping for emerging AI threats.
Creating data visualizations to support compliance mapping using Power BI.
Skills: Python, Neo4j, LangChain, RDF, Technical Documentation Writing
TrainSim Assistant – A Knowledge Training and Simulation Assistant
a Neo4j NODES24 User Conference Presentation Project June 2024 – November 2024
At NODES 24, Daniel Marian presented the TrainSim Assistant prototype that extracts relevant information from a PDF of a restaurant menu and generates hypothetical questions that are loaded into a Neo4j graph database for subsequent GraphRAG interaction.
This solution leveraged Jupyter for ETL purposes, LangChain for interacting with OpenAI and Neo4j, and Streamlit for delivering a gamified training simulation MVP user experience.
The presentation slides are available at TrainSim-nodes24-presentation.pptx.
Skills: Python, Neo4j, LangChain, Streamlit, Technical Presentation, Data Visualization, AI Prompt Engineering, GraphRAG Interaction Design, Prototyping, UX
ACADEMIC & PERSONAL PROJECTS
Cybersecurity Capstone Project
Liberty University Central Virginia Liquid Natural Gas (LNG)
Python ML Pipeline Team September 2023 – May 2024
Developed logistic regression ML pipelines for Cyber Threat Intelligence (CTI), providing early threat detection for LNG based on OT and IT data. Worked with infrastructure architecture, SIEM, and security testing teams to conduct anomaly detection in near real-time with a goal threshold of 95% accuracy.
Developed data analytics pipelines to monitor cybersecurity threats and generate reports.
Skills: Python, Machine Learning (Logistic Regression), Data Pipeline Development, SIEM Tools, Infrastructure Architecture, Cross-Functional Team Collaboration
Receipt Data Extraction with GenAI
Developing a receipt data extraction application using Python and BAML
Extracted and analyzed receipt data for tax documentation using Python and SQL.
Implementing data storage through SQLlite for data analysis
Skills: Python, BAML, SQLlite, Prompt Engineering
AWARDS & CLUBS
Cyber Defense Club at Liberty
National Honors Society
Varsity Cross Country and Tennis
VOLUNTEERING
Gastonia Street Ministries – Gastonia, NC
Volunteer January 2017 – Present
Volunteered at Gaston Street Ministry homeless shelter, serving food, playing guitar, and leading youth activities.
Operation Christmas Child – Charlotte, NC
Volunteer Winter 2018 – Present
Almost every year during OCC, as a part of my church (ROMBCC), I volunteer to help process shoeboxes at the Charlotte Processing Center.
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