Data & BI
SQL · Python · Power BI · Tableau · Data visualization · Exploratory analysis
PORTFOLIO · RESEARCH · PROJECTS
Data, intelligence,
and practical impact.
I’m Parham Rajab Nezhad, a Computer Science graduate interested in data analysis, machine learning, and building data-driven solutions to real-world problems.
SQL
AI
BI
ML
⌘DATAto insight
ABOUT ME
Curious by nature.
Analytical by practice.
I have a background in applied mathematics and computer science, with experience spanning machine learning research, graph-based modeling, and intelligent systems.
My current portfolio focus is practical data analysis—using SQL, Python, and BI tools to turn raw data into clear findings—while continuing to build on my AI and research experience.
See what I’m buildingTOOLKIT
Skills I work with
A mix of analytical, engineering, and research tools. This list can be updated as new projects are published.
AI & Machine Learning
Scikit-learn · TensorFlow · PyTorch · LSTM · Graph Neural Networks
Graphs & Research
NetworkX · Neo4j · Graph analysis · Sequential modeling · Research writing
Development
Python · C++ · C# · Git/GitHub · OpenCV
SELECTED WORK
Projects with a purpose
DATA ANALYSIS
From raw data to decisions
01 / DATA & BI
Data Analysis Portfolio
A growing collection of SQL exercises, data-cleaning workflows, analysis notebooks, and dashboard projects.
Explore category →INTELLIGENT SYSTEMS
Graph-based traffic modeling
02 / AI & ML
Intelligent Traffic Management
A project exploring graph neural networks to model traffic flow across connected intersections using camera data.
Explore project →RESEARCH
Sequence and graph analysis
03 / RESEARCH
Cyber-Attack Chain Risk Analysis
Research on sequential attack-chain categorization and risk prediction using LSTM models and MITRE ATT&CK.
Read publication →THE JOURNEY
Learning, building,
and moving forward.
A selected timeline of education, professional work, and research. Edit these entries to reflect your exact milestones and dates.
Explore certificates →2026
Research publication & data analytics upskilling
Published research on cyber-attack chain risk assessment and continued developing practical skills in SQL and Power BI.
2025
Research and professional development
Replace this text with your confirmed projects, courses, work, or other milestones from 2025.
2023–2024
Intelligent Traffic Management
Led a project exploring graph neural networks for traffic flow across connected intersections.
2022–2023
Research Fellow — LinkCar
Worked on research relating to cybersecurity challenges in connected and intelligent vehicles.
2019–2023
M.Sc. in Computer Science (AI)
Completed graduate studies and research on machine learning for cyber-attack-chain risk analysis.
2014–2019
B.Sc. in Applied Mathematics
Built a quantitative foundation and completed a final project on data mining in the Tehran Stock Exchange.
2014–2016
C++ Developer — Omid Robotics Team
Contributed C++ control and navigation modules for autonomous robots.
RESEARCH & PUBLICATIONS
Categorization and Risk Assessment of Cyber-Attack Chains: Sub-Chain Approach Using LSTM for Predictive Modeling
Published in Journal of Computer Virology and Hacking Techniques (2026). Research on representing attack sequences and predicting risk using an LSTM-based approach.
View article and DOI →LET’S CONNECT
Have a project or opportunity in mind?
I’m interested in data analytics, AI-driven applications, and opportunities to keep learning through practical work.