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Mahmudul Huq

Data Scientist and Technical Consultant
  • Unverbindlicher Tarif
    EUR 300 /Tag
  • Berufserfahrung8-15 Jahre
  • Antwortrate100 %
  • Antwortzeit24h
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Standort und Mobilität
Standort
Berlin, Deutschland
Ist bereit bei Ihnen im Büro zu arbeiten, in
  • Berlin und Umkreis (bis zu 50 km)
  • Berlin und Umkreis (bis zu 100 km)
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Fähigkeiten (18)
Mahmudul in wenigen Worten
##++ Personal Profile ++##

A highly motivated Data Scientist and Technical Consultant who can provide key analytical and scientific research support for big data analysis and technical consulting of medium to very large size companies. A highly trained individual with extensive training and experience in scientific research and data analysis, in academic and industrial environment. Ambitious and looking forward to playing a vital role in big data analysis and technical consulting and adding significant value to a business.

A high performing individual, demonstrating drive, enthusiasm and initiative, with the ability to work well under pressure, consistently delivering quickly and accurately and able to prioritise to ensure deadlines are met whilst maintaining a high standard of analysis and scientific insight.

Presently looking forward to work as a freelance Data Scientist and Technical Consultant.
Projekt- und Berufserfahrung
  • Seerene GmbH, Potsdam, Germany
    Senior Delivery Consultant
    DIGITALAGENTUREN & IT-CONSULTING
    Juni 2016 - März 2020 (3 Jahre und 10 Monate)
    Potsdam, Deutschland
    Professional Duties ==> Technical Consultancy and Customer Big Data Analytics for Advanced Software Analytics.

    During my employment at Seerene, I was responsible for two duties, namely, technical consultancy and customer big data analytics.

    Under technical consultancy, I have interacted with the customers to tailor the online “Code+Management”
    platform of Seerene according to their specific needs. I have also done static and dynamic analysis of the
    visualization of data as well as the underlying raw data to help customers better understand the online
    “Code+Management” platform of Seerene.

    Under customer big data analytics, I have programmed extensively in R and in Python to generate customer specific extension of statistical information and visualization of statistical information of the online
    “Code+Management” platform of Seerene. Additionally, I have generated several usage statistics, based on various diverse criteria, on the online “Code+Management” platform of Seerene.
    Data Science Technical Consultant Data Analysis for Software Analytics Python R
  • Cost Xpert AG, Augsburg, Germany
    Senior Scientific Consultant for IT-Service
    DIGITALAGENTUREN & IT-CONSULTING
    Januar 2013 - Mai 2016 (3 Jahre und 5 Monate)
    Augsburg, Deutschland
    Professional Duties ==> Software Development and Maintenance Cost Estimation Model.

    I was responsible for developing Effution proprietary software maintenance lifecycle model. The model was based on the ISO/IEC 14764:2006 standard. I have developed the complete list of the module structures and the t-table structures of the salient applications of the SAP business suite. Especially I have identified the customizable t-codes in the module structures and the t-table structures of the salient applications of the SAP business suite. I have been involved in the development of the method and the procedures for mapping between the SAP WRICEFT class and the complete list of the module structures and the t-table structures of the salient applications of the SAP business suite.

    Additionally, I was involved in the development of Effution proprietary software lifecycle cost estimation model
    for estimating cost, effort and schedule of SAP projects. I was responsible for conducting calibration of M(A), M(B), T(A), T(B), scaling factors and environmental factors of the COCOMO-II cost estimation model based on the historical project data of Effution. I have developed algorithm for assigning backfiring values in the Effution
    proprietary function point-based cost estimation model.

    I, along with colleagues, have conducted cost, effort and schedule estimation of number of customer-assigned
    projects using function point method and use-case point method.
    COCOMO-II Cost Estimation Model Function Point Method Use-Case Point Method Software Maintenance Life-Cycle Model T-Table Structure of SAP Business Suite Business Analysis SAP WRICEFT Class
  • Institute of Empirical Software Engineering, Technical University of Kaiserslautern, Kaiserslautern, Germany
    Research Scientist (Wiss. Mitarbeiter)
    FORSCHUNG
    September 2008 - Dezember 2012 (4 Jahre und 4 Monate)
    Kaiserslautern, Deutschland
    Professional Duties ==> Safety and Safety-Related Security Analysis for Safety-Critical Cyber-Physical System.

    I was responsible for conducting research on safety analysis and combined safety and security analysis. The
    principal focuses were to analyze safety hazards and the effects of security threats on the occurrences of safety
    hazards in safety-critical cyber-physical systems. I, along with my colleagues, had constructed component fault tree and state/event fault tree to perform safety analysis of such systems. I had also constructed combined component fault tree and attack tree to understand the effect of security threats on the occurrences of safety hazards in safety-critical cyber-physical systems. All these analysis activities had been performed in a strong collaboration with Fraunhofer Institute of Empirical Software Engineering (FhG-IESE).

    Additionally, I was responsible for conducting empirical evaluation for comparing performance between
    Dynamic Fault Tree (DFT) and State/Event Fault Tree (SEFT). The aim of the evaluation was to compare the two
    analysis techniques in terms of their consistency, expressiveness, maintainability, complexity, and error-proneness.
    Safety-Critical Cyber-Physical System Safety Analysis Safety-Related Securiry Analysis Combined Safety and Security Analysis Fault Tree Component Fault Tree Attack Tree
Externe Empfehlungen
Ausbildung und Abschlüsse
  • M.Sc. on Computational Science and Engineering
    Technical University of Braunschweig, Braunschweig, Germany
    2005
    Computational science Computational engineering Scientific computing Compuational method for solving ordinary differential equation (ODE) and partial differential equation (PDE) Mathematical optimization Bioinformatics Practical Matlab programming for implementing solutions of mathematical, scientific and engineering problems
  • B.Sc. on Computing and Information Systems
    London Metropolitan University, London, UK
    2001
    Software system analysis Software system design Relational database design Non-relationalal database design Network analysis and design Business information system Management information system (MIS) Decision support system (DSS)
  • International Advanced Diploma on Computer Studies
    National Computing Centre, London, UK
    2000
  • International Diploma on Computer Studies (IDCS)
    National Computing Centre, London, UK
    1999
Zertifizierungen
  • PRINCE2 Foundation Certification for Project Manager
    Augsburg, Germany
    2014
    Project Management
  • Certificate of Course on Machine Learning Hands on Python and R in Data Science
    Online Course from Udemy Inc of San Francsico, California, USA
    2018
    Data Science R Machine Learning Python
  • Certificate of Course on Deep Learning: Hands on Artificial Neural Networks
    Online Course from Udemy Inc of San Fransisco, California, USA
    2018
    Data Science R Artifical Neural Networkk Deep Learning Python