Md Sakhawath Hossain

Md sakhawath hossain

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location of Md Sakhawath HossainEspoo, Uusimaa, Finland
Phone number of Md Sakhawath Hossain+91 xxxx xxxxx
Followers of Md Sakhawath Hossain511 followers
  • Timeline

    May 2008 - Aug 2010

    Faculty Member

    American International University-Bangladesh
    Dec 2011 - May 2012

    Research Assistant

    Fraunhofer-Gesellschaft
    Jan 2013 - Oct 2013

    Master Thesis

    University of Stuttgart - Institute of Industrial Automation and Software Engineering
    Jan 2014 - Aug 2016

    Faculty Member

    American International University-Bangladesh
    Sept 2017 - Dec 2018

    Teaching Assistant

    University of Oulu
    Oulu Area, Finland
    Dec 2018 - Nov 2019

    Researcher

    Centre for Wireless Communications, University of Oulu
    Dec 2019 - Mar 2020

    Data Analyst

    Boogie Software Oy
    Current Company
    May 2022 - now

    Machine Learning Engineer, L1 SW at Nokia R&D

    Nokia
  • About me

    Machine Learning Engineer at Nokia R&D

  • Education

    • Coursera

      2021 - 2021
      Ibm data science professional certificate data science

      - The program consists of 9 online courses- Included open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. - Experience learning data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

    • University of oulu

      2016 - 2018
      Master's degree biomedical engineering: signal and image processing
    • American international university-bangladesh

      2004 - 2008
      Bachelor's degree electrical and electronics engineering
    • University of stuttgart

      2010 - 2013
      Master's degree information technology
    • Coursera

      2021 - 2021
      Applied learning project data science

      This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that gave me practical skills with applicability to real jobs, including:Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson StudioLibraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.Projects: Random album generator, Predict housing prices, Best classifier model… Show more This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that gave me practical skills with applicability to real jobs, including:Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson StudioLibraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.Projects: Random album generator, Predict housing prices, Best classifier model, Predicting successful rocket landing, Dashboard and interactive map Show less

  • Experience

    • American international university-bangladesh

      May 2008 - Aug 2010
      Faculty member
    • Fraunhofer-gesellschaft

      Dec 2011 - May 2012
      Research assistant

      -Design and implementation of shock detection circuitry for load unit -Programming for microcontroller -C programming

    • University of stuttgart - institute of industrial automation and software engineering

      Jan 2013 - Oct 2013
      Master thesis

      -Analysis and evolution of machine learning approaches to support test management system-Development of a learning approach suitable for fuzzy expert system-Successfully implemented Genetic Algorithm as a learning approach-Used tools: Java

    • American international university-bangladesh

      Jan 2014 - Aug 2016
      Faculty member

      Taught Courses: Industrial Electronics, Digital Electronics, Digital Logic Design, Electrical Power Transmission and Distribution, Power Systems, Electrical Circuits, Programming Language CTaught Lab Courses: Industrial Electronics, Digital Electronics, Electronic Devices, Digital Signal Processing, Control Systems, Electrical CircuitsFew Supervised Projects:-Authenticate user accessible message display board via any institutional webpage or mobile-Impaired vision aid by image processing-Hand gesture detection using haar classifier with appropriate skin color, kernel sizing & auto thresholding-Gas leakage detection and automatic gas control system design Show less

    • University of oulu

      Sept 2017 - Dec 2018

      Conducted biosignal-1 lab course and supported with course works. Assisted students with processing and analyzing physiological signals such as ECG, electromyography (EMG), Spirometer signals, etc. in MATLAB. Counseling students was an integrated part of this job. Developed a model for real electrocardiogram (ECG) signal classification through the convolutional neural net for biometric application and cardiac diseases recognition using python, TensorFlow, MATLAB, and ECGkit.Used skills and technologies: ECG in the biometric application, deep learning, Python, Tensorflow, MATLAB, ECGkit Conducted biosignal-1 lab course and supported with course works. Assisted students with processing and analyzing physiological signals such as ECG, electromyography (EMG), Spirometer signals, etc. in MATLAB. Counseling students was an integrated part of this job.

      • Teaching Assistant

        Sept 2018 - Dec 2018
      • Research Assistant

        Sept 2017 - Nov 2018
      • Teaching Assistant

        Sept 2017 - Dec 2017
    • Centre for wireless communications, university of oulu

      Dec 2018 - Nov 2019
      Researcher

      Researching on machine learning-based MIMO transceiver processing with the help of Python, TensorFlow, and MATLAB. Now research focused on detecting MIMO signals using machine learning approaches. Random Gaussian noise and low SNR is the hardest challenge to conquer. Besides that, higher-order modulation is also an integrated part of the research.

    • Boogie software oy

      Dec 2019 - Mar 2020
      Data analyst

      Analyzing data and looking for a meaningful insight into it. Building machine learning model for the entrepreneur to scale or modify their business model based on available information or synthesized data. The latest two in-house projects were related to business quality classification and activity recognition from electroencephalogram (EEG) signal. Tools used such as python, TensorFlow, keras, tensorboard, scikit-learn, scipy, shap, pandas, numpy matplotlib, seaborn etc. Used skills and technologies: Deep learning, Keras, Python, Pandas, LSTM, NLP Show less

    • Nokia

      May 2022 - now
      Machine learning engineer, l1 sw at nokia r&d
  • Licenses & Certifications