Zafar Mahmood

Zafar Mahmood

Leipzig, Sachsen, Deutschland
2706 Follower:innen 500+ Kontakte

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Info

As a machine learning professional with a Master's degree and a thesis focused on…

Berufserfahrung

  • Unite Grafik

    Unite

    Leipzig, Saxony, Germany

  • -

    Münster Area, Germany

  • -

    Hildesehim, Germany

  • -

    Munich Area, Germany

  • -

    Hildesheim, Germany

  • -

    Islamabad Pakistan

Ausbildung

  • Stiftung Universität Hildesheim Grafik

    Universität Hildesheim

    –

    -Machine learning ( Supervised , Unsupervised )
    -Business Analytics ( Time series , Trends, Forecasting)
    -Big Data (MPI , Map reduce , Hadoop , Spark , Clourdera )
    -Distributed Analytics
    -Deep Learning ( Neural Networks , CNN , FNN )
    -Natural Language Processing

    Python and R

  • –

    Majors: Programming, Software Development, Algorithms, Image Processing, Computer Vision

    Thesis :
    Motion detection with morphological operations to count a number of vehicles on the road and give suggested time for traffic signals in a junction

Bescheinigungen und Zertifikate

Ehrenamt

  • Team Manager

    Sports society

    – 2 Jahre 1 Monat

    Social Services

    Manged departmental athletics team in each sports event.

Projekte

  • Traffic Density Analysis

    –

    Solved real life problem occurring in almost every busy junction, our approach is to extract ROI , background subtraction, image enhancement, morphological and compound operations, motion detection and optical flow algorithms to detect and count the number of vehicles finally estimate density on the road and give optimize suggested time to operate traffic signals.

  • FRAMEWORK FOR THE OPTIMAL BATSMAN ORDER

    –

    A predictive mathematical model Bayesian Analysis to give a probabilistic value to batsman related to his perfect batting position for the match against the team using his history of all day and night matches, including country, pitch type and weather conditions

Auszeichnungen/Preise

  • ZEISS Data Science Hackathon

    ZEISS Group

    Challenge is all about Semiconductor microscopy process, Image processing, and Machine Learning. We started with 111 given input images (increased to 1500+ with our synthetic dataset) and developed a tool that can do classification and segmentation tasks. The result of our processing toolchain is output for MeRit System

  • Cross-Indrustry AI-Hack BMW and Siemens

    BMW and Siemens

    A car sharing time recommendation using log data between servers and all smart cars
    http://www.ai-hackathon.com/

  • ConnHack 2018 - SAP berlin

    ConnHack 2018

    45 Hours ConnHack 2018 hosted by SAP Berlin together with their 8 partners focused on green energy IOT based open Innovative solutions.
    http://connhack.org/

  • AUDI Smart Factory Hackathon

    AUDI A.G.

    Clustering and Predictive supply chain forecasting on logistics data with profound accuracy.

Sprachen

  • English

    -

  • German

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