Hossein Shirali

Angestellt, Data Scientist Consultant, Modis

Karlsruhe, Deutschland

Über mich

Motivated Data scientist with 2 years of broad-basing experience in building data-intensive applications, overcoming complex architectural, and scalability issues in diverse industries.Passionate about leveraging Data to answer scientific and Business questions.Advanced understanding of statistical, algebraic, and other analytical techniques. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Technical Skills: Machine Learning: Python (scikit-learn, pandas, NumPy, Matplotlib, OpenCV, Open3d), keras, TensorFlow Data Processing: SQL, Apache Spark Data Visualization Tools: Power BI, Latex, Excel Database: MySQL Others: Microsoft Power Platform/ Office, Git, GitHub, Linux, VS Code, Jupyter Notebook, Google Colab Languages: Persian: Mother Tongue English: Upper intermediate level (C1) | IELTS | 2018 | 6.5 German: Basic (A1)

Fähigkeiten und Kenntnisse

Computer Vision
Python Programmierung
SQL
MySQL
Latex
Machine learning
Deep learning
Apache Spark
Microsoft Power BI
git
Linux
qgis
Data Science
Datenanalyse
Künstliche Intelligenz
Deep Learning
TensorFlow
scikit learn
Microsoft Power Platform
MS Office
Data visualisation
Big Data
Database
ML
Engineering

Werdegang

Berufserfahrung von Hossein Shirali

  • Bis heute 2 Jahre und 4 Monate, seit Feb. 2022

    Data Scientist Consultant

    Modis

    • Develop an optimization algorithm for turbine maintenance activities to increase the efficiency and profitability of the company. • Supported the migration of the company’s data to the cloud. • Designed and implemented projects based on Citizen Development tools (MS Power Platform). • Organized and lead training to facilitate the adoption of the O365 tools within the company. • Development of an automated reporting solution.

  • 9 Monate, Feb. 2021 - Okt. 2021

    Junior Data Scientist

    Plasive Technologies

    • Developed and trained a CNN-based model to execute semantic segmentation on satellite images. • Designed a remote sensing approach for estimating the carbon stock. • Built Multidimensional Dataset for Satellite Images. • Operated QGIS software for performing Remote Sensing tasks.

  • 5 Monate, Sep. 2020 - Jan. 2021

    Machine Learning Engineer

    Kiwitron

    • Implemented my master thesis: "Semi-Automatic Image Labeling Method Based On The Point Clouds ". • Designed a novel approach for image labeling tasks which achieved the state-of-the-art result. • Executed some computer vision projects on edge devices, such as Jetson Nano /Jetson Xavier NX with Intell Realsense cameras ( Depth and Tracking cameras: D435, D455, T265).

Sprachen

  • Englisch

    Fließend

  • Persian

    Muttersprache

  • Deutsch

    Grundlagen

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