Mohammad Parham Dehghan - Python Developer & AI Specialist

Building intelligent software solutions with expertise in machine learning, data analysis, and computer vision

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About Mohammad Parham Dehghan

Born on February 24, 2005, I am Mohammad Parham Dehghan, a Python developer and AI specialist. Single and currently exempt from military service due to academic enrollment. I am passionate about continuous learning, mastering object-oriented programming, and algorithm design. I excel in analyzing complex problems, delivering innovative solutions, and collaborating in team environments to enhance project outcomes. Check out my LinkedIn for more details.

Skills

Education

Bachelor's in Computer Engineering - AI Specialization

Islamic Azad University, Shahr-e-Qods, Tehran
GPA: 18.40/20
2023 - Present

Work Experience

Data Analyst - iotneo

Tehran | August 2025 - Present

  • Designed interactive Power BI dashboards for real-time decision-making
  • Performed advanced Excel analysis with Pivot tables and complex formulas
  • Extracted and analyzed data from SQL, CSV, and NoSQL using Python (Pandas, NumPy)
Systems & Methods Intern - Vira Diesel

Tehran | February 2025 - July 2025

  • Designed flowcharts and UML diagrams for system modeling
  • Developed production line management system
  • Optimized SQL Server databases for organizational efficiency
AI Intern - Nano Research Center, South Tehran

Tehran | February 2024 - November 2024

  • Developed machine learning and deep learning algorithms
  • Built driver drowsiness detection system using YOLO and OpenCV
  • Analyzed sensor data for driver health monitoring

Projects

Driver Drowsiness Detection

Client: Mir Yousof Hosseini | November 2024

Developed a system to detect driver drowsiness using PyTorch and YOLOv5, analyzing camera feeds to monitor driver behavior.

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Production Line Management System (EPS)

Client: Venus Mojarad | April 2025

Built with PyQt5 and SQL Server, including flowcharts and ER diagrams for efficient production line management.

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On-Chain Analytics

Analyzed blockchain data using Jupyter Notebook to extract financial and security insights from transactions.

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XGBoost Tutorial

Comprehensive guide on using XGBoost for data analytics with practical examples.

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LightGBM Tutorial

Tutorial on using LightGBM for high-performance data analysis on large datasets.

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AI Blind Project

AI system for the visually impaired using BLIP, Gemma, YOLO, and MiDaS for object and environment detection.

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Fraud Detection in Banking Transactions

Analyzed banking transactions with TABM model to detect fraudulent patterns.

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Certificates

Contact Me

Reach out via social media for collaborations or inquiries:

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