Md. Ekram Hossain

About

Data Aanlyst

A hardworking Individual who would like to do things with perfection and within the deadline. I am a person with Excellent problem-solving skills and the ability to perform well in a team. Passionate about coding and enjoy exploring more about ML and AI. I also worked as a Research Assistant in the field of Data Science. Apart from this, I am a person who is always ready to develop new skills and grow knowledge by gaining practical experience. An intelligent Student Worker with distinguished knowledge of Research, MachineLearning Model Development, and Data Visualization with Microsoft Power BI. Fantastic attention to detail with training in Open-Source-platform Github and extensive knowledge of Microsoft Azure Services. Along with these, I have six international publications that solve multiple problems and help to develop new technologies. Recently working with Mortality of Covid-19 patient.

Skills

Languages

Python

Python

Java

Java

C

C

JavaScript

JavaScript

HTML

HTML

CSS

CSS

Frameworks & Tools

Flask

Flask

Scikit-Learn

Scikit-Learn

NUMPY

Numpy

Matplotlib

Matplotlib

Tensorflow

Tensorflow

Keras

Keras

Power BI

Power BI

Microsoft Excel

Microsoft Excel

Git

Git

MySQL

MySQL

Google Colab

Google Colab

Jupiter Notebook

Jupiter Notebook

Operating Systems

MacOS

MacOS

Linux

Linux

Windows

Windows

Resume

Work Experience

Working Student - Data Analyst

Sep 2022 - March 2024

Elektrobit Automotive GmbH

  • Led the development of an automated report generation system, consolidating data from 7+ disparate sources to streamline daily tracking operations, resulting in a 50% reduction in manual tracking time for QA teams and developers.
  • Collaborated with cross-functional teams to customize and optimize the reporting system, achieving a notable 40% increase in operational efficiency organization-wide.
  • Track Jenkins build information, including pass or fail statuses, providing comprehensive insights into project progress by generated reports.
  • Implemented a structured SQL database to methodically store and analyze daily Klocwork project data, ensuring steadfast data integrity.
  • Continuously monitored and optimized the performance of the database infrastructure, achieving a 15% increase in data processing speed by identifying and addressing potential bottlenecks.
  • Technologies Used: Python, Jenkins, Github, Klocwork, Azure SQL Database, Microsoft Power BI.

Research Assistant

Sep 2019 - March 2021

Daffodil International University

  • Conducting literature searches
  • Data management, Maintaining data collection files and assisting with data analysis
  • Generating correspondence, Reports and Graph.

Teacher Assistant

April 2019 - December 2021

Daffodil International University

  • Work with the lead teacher to monitor the class schedule.
  • Assist teachers with lesson preparation by getting materials ready and setting up equipment.
  • Collaborate with lead teachers to recognize issues students are facing and recommend solutions.

Education

M.Sc. in Data Science

2021 - Present
 

Friedrich Alexander University Erlangen–Nürnberg, Germany

B.Sc. in Software Engineering

2017 - 2021
 
CGPA: 3.87

Daffodil International University, Bangladesh

Higher Secondary Certificate

2014 - 2016
 
GPA: 4.83

BAF Shaheen College, Bangladesh

Extracurricular Acitvities

SWE Club Research Secretary

July 2018 - December 2021

Department of SWE, DIU

Organise research teams meetings, prepare agendas, take minutes, follow up on action points.

Member of DIU Data Science Lab

April 2020 - Present

Quantative Research Community, DIU

After Joining DDL as a member planned many events and managed the events from backend,and also published numerous scientific papers

Projects

  • All
  • Power BI Dashboard
  • Deep Learning
  • Machine Learning
  • Software
Sales Dashboard

Global Sales Analysis- DAX

HR Analytics Dashboard

Recruitment Analysis- DAX

Retail Analytics Dashboard

Retail Analysis- DAX

Customer Churn Dashboard

Customer Churn Analysis- DAX

Personal LinkedIn Profile Dashboard

Profile Analysis- DAX

One Shot Learning

Siamese Neural Network

Video Frames Classification

Transfer learning - ResNet-50

Plant Image Classification

Convolutional neural network - DeepLearning

Analyze.APP (AutoML)

Web Application - Flask

University Advising System

Desktop Application - Java

SWEBOOK

Web Application - PHP

Publicaitons

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Measuring the Effectiveness of Software Code Review Comments
ICACDS 2020 - Springer

See Publication
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Context-Based News Headlines Analysis: A Comparative Study of ML and DL Algorithms
Vietnam Journal of Computer Science

See Publication
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A Proficient Model to Classify Bangladeshi Bank Notes for Automatic Vending Machine
ICCCNT 2020 - IEEE

See Publication
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Human Praying Structure Classifıcation with Transfer Learning
ICICT 2021 - Springer

See Publication
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Classification of Immunity Booster Medicinal Plants Using CNN: A DeepLearning Approach
ICACDS 2021 - Springer

See Publication
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A Proficient DeepLearning Approach to Classify the Usual Military Signs by CNN
IC3 2020 - Springer

See Publication

Certifications

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Research Award
Daffodil International University

See Credential
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Paper Presenter
ICICT 2021

See Credential
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Participate at Conference
ICICT 2021

See Credential
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Participate at Conference
ICCCNT 2020

See Credential
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Participate at Conference
IC3 2020

See Credential
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Introduction to Data Science
Coursera

See Credential