Milad Davari

Angestellt, Data Engineer, DrSaina
Isfahan, Iran (Islamische Republik )

Fähigkeiten und Kenntnisse

SQL Server
T-SQL
Data-Mining
Data Migration
Bioinformatics
Machine learning
Database design
Database Development
Data Analysis
ETL
Problem Solving
Data Engineering
Data Classification
Pattern recognition
Data Science
Database Management & Reporting
Python
MatLab

Werdegang

Berufserfahrung von Milad Davari

  • Bis heute 2 Jahre und 7 Monate, seit Dez. 2022

    Data Engineer

    DrSaina

    - Querying, Data modeling, and Data warehousing in MS SQL Server - Designing ETL process and data pipelines by SSIS and Python

  • 1 Jahr und 1 Monat, Sep. 2021 - Sep. 2022

    Business Intelligence Developer

    Takhfifan

    Development and maintenance of: - Data warehouse, Data lake and staging DB (MS SQL) - ETL process and data pipelines (SSIS) - Dashboards and reports (SSRS and Power BI)

  • 7 Monate, März 2021 - Sep. 2021

    Data Engineer & Senior SQL Developer

    Exir System Pooya

    - Refactoring the structure of database and SPs - File Grouping, Partitioning, Indexing, and Data Compression - Solving the complex problems by T-SQL and Python (Graph, Tree, etc.)

  • 1 Jahr und 4 Monate, Okt. 2019 - Jan. 2021

    Data Engineer & Senior SQL Developer

    NMS

    - WinApp debugging - SQL database development - ETL and Data migration

  • 6 Jahre und 4 Monate, Juni 2012 - Sep. 2018

    SQL Developer & Lead Of Technical Support team

    RayanTeb co.

    - Managing and planning of technical support team - T-SQL programming - ETL and Data migration - Database modeling and development - Analysis and designing financial, statistical, and managerial reports - Contribute to analysis and design of ERP

  • 2 Jahre und 1 Monat, Sep. 2014 - Sep. 2016

    Data Scientist & bioinformatics Researcher

    Cancer Prevention Research Center, Isfahan University of Medical Sciences

    The scientific and practical project titled "Prediction of disease-free survival of colon cancer patients by data mining and machine learning techniques" on the real database of Omid hospital. (Also, as my master's degree thesis.) - ETL, Data Preprocessing, Data Cleansing, Normalization,… - Classification and pattern recognition (Neural nets ensemble trained by DE) - Rule extraction to make a comprehensible model from the black-box model

Ausbildung von Milad Davari

  • Software Engineering

    Islamic Azad University, Science and Research Branch, Kerman

Sprachen

  • Englisch

    Grundlagen

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