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Azin-Sh/README.md

Typing SVG

Hi there, I'm Azin Shahrokhi πŸ‘‹

πŸ›°οΈ IT Specialist | Data Analyst | AI & Machine Learning Student

I am a certified Data Analyst and Computer Engineer (Isfahan University) with extensive experience in Telecommunication and OSS/BSS systems. I specialize in supporting and designing enterprise IT systems, with a proven track record of improving data accuracy and customer satisfaction by 10–30%.

Currently based in California, I am expanding my technical stack at Las Positas College, bridging my enterprise IT foundation with modern AI/Machine Learning, Cloud Computing, and Autonomous Robotics.


🌐 Cloud & IT Infrastructure

  • Cloud Computing: Active member of AWS Academy & AWS Educate; currently focused on Cloud Architecture and AWS service deployment.
  • IT Specialist Knowledge: Pursuing CompTIA A+ to reinforce professional foundations in networking, hardware, and system security.
  • Enterprise Systems: Experienced in managing high-stakes Data & IT environments within the Telecom sector.

πŸ› οΈ Technical Toolkit

Category Skills & Tools
Cloud & Systems AWS Academy, AWS Educate, CompTIA A+ (In Progress)
Data & BI SQL, BigQuery, Oracle, Power BI, Tableau, R Programming
AI & Machine Learning Python, Scikit-Learn, Pandas, K-Means Clustering, Random Forests
Robotics & IoT Arduino (C++), LEGO Spike Prime (Python), Sensors

πŸ“‚ Featured Repositories


πŸ“‚ Available Case Studies

πŸ“« Connect with Me

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  1. Arduino-temperature-alert-system Arduino-temperature-alert-system Public

    IoT environmental monitoring system using Arduino, C++, and DHT11 sensors to provide real-time temperature tracking with visual (LCD/RGB) and audible alerts.

    C++

  2. kaggle-intro-to-machine-learning kaggle-intro-to-machine-learning Public

    A comprehensive progression through the Scikit-Learn workflow, covering EDA, model validation, and optimization (Random Forests) for house price prediction.

    Jupyter Notebook

  3. mall-customer-clustering-K-Mean- mall-customer-clustering-K-Mean- Public

    Unsupervised Learning project using K-Means Clustering to segment customers based on annual income and spending scores.

    Jupyter Notebook

  4. enterprise-systems-case-studies enterprise-systems-case-studies Public

    Technical analysis and problem-solving in Telecommunications, CRM integration, and Data Automation.