Hello! I'm Saleh Abedinezhad, a data analyst with a background in software engineering and a passion for turning raw data into clear, impactful insights. My journey into data began during my academic years and evolved into building automated pipelines, machine learning models, and professional data reports.

My recent focus has been on ETL pipelines, SQL optimization, and automated reporting systems. I enjoy crafting tools that simplify complex workflows and improve the clarity of data presentations.

I build efficient ETL workflows that extract data from relational databases, apply transformations using Python logic, and deliver final outputs through visual reports or formatted files. Along the way, I care deeply about clean code, proper documentation, and polished presentation of results.

Whether I’m cleaning messy data, designing a reporting tool, or building a predictive model, my goal is to add value through insight and automation.

• ETL Pipelines: Extracting, transforming, and loading data for analysis and reporting
• SQL & Databases: Writing optimized queries and handling relational data (SQL Server, MySQL)
• Data Automation: Building scripts for recurring analysis and report generation
• Tabular Output Libraries: Presenting data using tools like prettytable, tabulate, df_table, and d-tail for clean console/table displays
• Exploratory Data Analysis (EDA): Identifying trends, correlations, and anomalies
• Machine Learning: Modeling real-world problems using supervised learning
• Data Visualization: Communicating results using Matplotlib & Seaborn
• Python Programming: Writing modular, efficient, and well-documented code
• Excel: Advanced functions and report building
• AI Tools: Leveraging tools like ChatGPT & AlphaCode to boost productivity

• 🔬 Diabetes Risk Prediction: A machine learning pipeline that analyzes medical and lifestyle features to assess diabetes risk.
• 📊 SQL Reporting System: A Python-based system to automate query execution, handle duplicate columns, and export Excel reports.
• ⚙️ ETL & Reporting Automation: Building robust ETL scripts for data extraction from SQL Server, transformation, and output formatting.
• 🧾 Tabular Output Enhancement: Improving data readability with custom tabular formatting using libraries like prettytable, d-tail, and df_table.

Currently focused on:

• Advanced ETL architecture and orchestration
• Query optimization and performance tuning in SQL Server
• Deep Learning foundations (PyTorch & TensorFlow)
• Backend frameworks like Django for deploying data apps

If you're working on data pipelines, want to automate reporting, or just love working with structured data—let's connect and share ideas!

• 📧 Email: [email protected]
• 🔗 LinkedIn: linkedin.com/in/imsalione
• 💼 GitHub: github.com/imsalione
• 🌐 Website: imsalione.ir

Let’s turn raw data into powerful insight, one table at a time. 📊✨