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Avatar of SAKHAWATH HOSSAIN.
Avatar of SAKHAWATH HOSSAIN.
Senior Executive @Bashar Group of company.(IMS SHIPPING LINE)
2022 ~ Present
More than one year
Executive.(Warehouse) BANGLADESH POUHUNG INDUSTRIES LIMITED ▪️ Responsible for overseeing a wide variety of warehouse activities including receiving raw materials and/or finished goods and maintaining inventory and associated records. ▪️ Receiving incoming material and routing to appropriate area or personnel. ▪️ Filling work orders from production, packaging assemblies and receiving into finished goods. ▪️ Measuring and reporting the effectiveness of the department activities. ▪️Developing and maintaining departmental work instructions for all tasks. ▪️ Establishing or updating work procedures to meet warehouse demands as dictated by production schedules and workflow. ▪️ Interpreting
Word
Excel
PowerPoint
Employed
Full-time / Not interested in working remotely
6-10 years
National University of Bangladesh
Bachelor of business studies.

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
Data Scientist/ Engineer
Logo of Intomarkets.
Intomarkets
2022 ~ Present
Hamburg, Germany
Professional Background
Current status
Job Search Progress
Professions
Data Scientist, Machine Learning Engineer, AR/VR Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Digital Marketing / Data Marketing
Work experience
6-10 years
Management
I've had experience in managing 15+ people
Skills
Machine Learning
Statistical Analysis
Big Data
Descriptive/Predictive Analytics
Data Engineering
Python
SQL
PySpark
Numpy
Pandas
Scikit-learn
PyTorch
TensorFlow (Keras)
NLTK
BERT
BeautifulSoup
Selenium
AutoIT
OpenCV
Plotly
Seaborn
Matplotlib
Knowledge Graph
Docker
AWS Sagemaker
S3
Azure Studio
Blob
Power BI
Excel
NPX
Jira
Bitbucket
Git
Bash
CI/CD
Streamlit
Flask
FastAPI
Languages
English
Native or Bilingual
German
Intermediate
Job search preferences
Positions
Data Scientist
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
University of Paderborn
Major
Master of Science in Computer
Print

Nilanjan Das

Data Engineer

Experienced data engineering practitioner with prior professional experience in data analytics and data science. My technical expertise helps me to build data engineering projects pipeline at scale from idealization till production deployment.  I aspire to assign myself to a technically mid-senior role with a focus on consulting and liaising with multiple interdisciplinary teams.

  Hamburg, Germany        [email protected]   +49-1629187108

Work Experience

Data Science/ Engineer  (Amazon Ads) •  Intomarkets

April 2022 - Oct 2022

  • Responsible for dynamic data collection from Amazon Ad server, processing and storing in S3 bucket.
  • Building and maintaining ML models and project pipelines such as time series modelling (e.g. Budget Shifting)
  • Work extensively with Python, PySpark, Sklearn, TensorFlow, Plotly, Docker, Apache Airflow, ETL and Linux/ Windows os for prototyping and model building
  • Quick prototyping of MVP and exploratory analysis
  • Working knowledge with MLflow, Amazon advertising API and postman
  • Deployment with docker and CI/CD pipelines
  • CONTRIBUTION: Lead and built an in-house dynamic data collection tool with the goal to automate budget shift (Amazon DSP) and Acos optimization (PPC) thereby replacing the existing 3rd party tool.

Data Scientist/ Analyst (Intern)  •  Diebold Nixdorf GmBH, Germany

May 2018 - April 2022

  • Built a machine learning-based decision-making system that will be used by Diebold's global 500 leadership
  • Built a machine-learning-based deal size prediction model 
  • Developed 7+ Dashboards on Power BI (Win-loss analysis) and presented the analytics insights to relevant clients 
  • Researched and developed an innovative GDPR (General data protection rule) compliant recommender system, that can recommend items without using profile data
  • Worked with big data sets: 2.8 million transactions from the retail domain
  • Used Knowledge Graph embedding algorithms to make the solution completely 100% scalable for similar data sets
  • Exploratory data analysis to identify the performance bottleneck of large POS systems and optimize their performance (Best achievement: 300% processing time improvement)
  • Partially automated the data pipeline containing thousands of rows of data, which reduced manual workload 
  • Research Projects: Touchless ATM, Touchless self check out

Data Engineer  •  Tech Mahindra, India

May 2016 - August 2017

  • Developed a mobile tower location tracking application
  • Worked on the entire SDLC(requirement gathering, planning, development, testing, deployment) with 2 other team members to finish this project 

Data Engineer  •  Accenture Service Pvt Ltd, India

October 2014 - March 2016

  • Part of a 15 member team that implemented an infrastructure application used by .5 million health professionals worldwide
  • Automated periodic database refreshment which increased process efficiency and reduced manual workload

Education

2017 - 2020

University of Paderborn

Master of Science - Computer Science

Data Visualization, Intelligence in Embedded Systems, Planning & Algorithms

Thesis: A Recommender System 


2010 - 2014

West Bengal University of Technology

Bachelor of Technology in Information Technology

Data Structure & Algorithms, Object Oriented Programming & Java 

Thesis: Automated Speech Recognizer 

Skills

Concepts/ Programming


  • Data Modelling 
  • ETL Pipeline
  • Apache Kafka
  • Python

Data Bases


  • MySQL
  • Oracle DB
  • Dynamo DB (AWS)
  • PostgreSQL

Tools & Cloud


  • Jira, Git, CI/CD, Docker
  • Power BI, Excel, NPX
  • Postman, AWS Glue
  • AWS Sagemaker, S3, Lambda

Extracurricular

  • Served as Marketing Head / Vice President for Debate Society Paderborn (DSP) Jan 2019- Feb 2021
Resume
Profile

Nilanjan Das

Data Engineer

Experienced data engineering practitioner with prior professional experience in data analytics and data science. My technical expertise helps me to build data engineering projects pipeline at scale from idealization till production deployment.  I aspire to assign myself to a technically mid-senior role with a focus on consulting and liaising with multiple interdisciplinary teams.

  Hamburg, Germany        [email protected]   +49-1629187108

Work Experience

Data Science/ Engineer  (Amazon Ads) •  Intomarkets

April 2022 - Oct 2022

  • Responsible for dynamic data collection from Amazon Ad server, processing and storing in S3 bucket.
  • Building and maintaining ML models and project pipelines such as time series modelling (e.g. Budget Shifting)
  • Work extensively with Python, PySpark, Sklearn, TensorFlow, Plotly, Docker, Apache Airflow, ETL and Linux/ Windows os for prototyping and model building
  • Quick prototyping of MVP and exploratory analysis
  • Working knowledge with MLflow, Amazon advertising API and postman
  • Deployment with docker and CI/CD pipelines
  • CONTRIBUTION: Lead and built an in-house dynamic data collection tool with the goal to automate budget shift (Amazon DSP) and Acos optimization (PPC) thereby replacing the existing 3rd party tool.

Data Scientist/ Analyst (Intern)  •  Diebold Nixdorf GmBH, Germany

May 2018 - April 2022

  • Built a machine learning-based decision-making system that will be used by Diebold's global 500 leadership
  • Built a machine-learning-based deal size prediction model 
  • Developed 7+ Dashboards on Power BI (Win-loss analysis) and presented the analytics insights to relevant clients 
  • Researched and developed an innovative GDPR (General data protection rule) compliant recommender system, that can recommend items without using profile data
  • Worked with big data sets: 2.8 million transactions from the retail domain
  • Used Knowledge Graph embedding algorithms to make the solution completely 100% scalable for similar data sets
  • Exploratory data analysis to identify the performance bottleneck of large POS systems and optimize their performance (Best achievement: 300% processing time improvement)
  • Partially automated the data pipeline containing thousands of rows of data, which reduced manual workload 
  • Research Projects: Touchless ATM, Touchless self check out

Data Engineer  •  Tech Mahindra, India

May 2016 - August 2017

  • Developed a mobile tower location tracking application
  • Worked on the entire SDLC(requirement gathering, planning, development, testing, deployment) with 2 other team members to finish this project 

Data Engineer  •  Accenture Service Pvt Ltd, India

October 2014 - March 2016

  • Part of a 15 member team that implemented an infrastructure application used by .5 million health professionals worldwide
  • Automated periodic database refreshment which increased process efficiency and reduced manual workload

Education

2017 - 2020

University of Paderborn

Master of Science - Computer Science

Data Visualization, Intelligence in Embedded Systems, Planning & Algorithms

Thesis: A Recommender System 


2010 - 2014

West Bengal University of Technology

Bachelor of Technology in Information Technology

Data Structure & Algorithms, Object Oriented Programming & Java 

Thesis: Automated Speech Recognizer 

Skills

Concepts/ Programming


  • Data Modelling 
  • ETL Pipeline
  • Apache Kafka
  • Python

Data Bases


  • MySQL
  • Oracle DB
  • Dynamo DB (AWS)
  • PostgreSQL

Tools & Cloud


  • Jira, Git, CI/CD, Docker
  • Power BI, Excel, NPX
  • Postman, AWS Glue
  • AWS Sagemaker, S3, Lambda

Extracurricular

  • Served as Marketing Head / Vice President for Debate Society Paderborn (DSP) Jan 2019- Feb 2021