Programming & Data
Python, R, SQL, Pandas, NumPy, MySQL and Jupyter Notebooks.
DATA • AUTOMATION • ANALYTICS
Hi, I’m Rubyat Ul Hasnat.
Data Manager · Data Scientist · Workflow Automation Engineer
I specialize in workflow automation, data science, and analytics, developing scalable data-processing solutions, machine learning models, and business intelligence dashboards using Python, SQL, Quadient Inspire, and Power BI.
ABOUT
Combining mathematical thinking with practical automation.
I am a Data Science graduate with a strong background in applied mathematics and professional experience in data management, analysis and reporting. My work focuses on preparing, validating and transforming data, developing automated workflows and delivering dependable outputs for complex customer communication projects.
3+Years in current data role
M.Sc.Applied Mathematics & Data Science
B2–C1German proficiency
SKILLS
Tools and capabilities
Analytics & Visualisation
Power BI, Tableau, Excel, Matplotlib, Seaborn and business reporting.
Automation & Machine Learning
Quadient Inspire, Scikit-learn, TensorFlow, PyTorch and automated data processing.
EXPERIENCE
Professional journey
Jul 2023 — Present
Data Manager
WVD Dialog Marketing GmbH · Chemnitz, Germany
- Develop automated data-processing workflows using Quadient Inspire.
- Prepare, clean, validate and transform Excel, PDF, CSV and other data sources.
- Design personalised communications for print and email campaigns.
- Deliver automation solutions for banking, utilities, IHK and election projects.
- Troubleshoot complex processing issues and improve workflow performance.
Nov 2015 — Sep 2018
Merchandising & Business Data Analyst
Tusuka Group · Dhaka, Bangladesh
- Analysed business data and contributed to a 10% sales increase.
- Created management reports and dashboards.
- Supported pricing and product optimisation, improving gross margin by 5%.
BUSINESS PROJECTS
Real-world workflow automation
Generalized case studies based on professional experience. No customer data, internal source files, or confidential business information are included.
FEATURED PROJECT
Enterprise Document Automation Workflow
Designed and developed a modular workflow for recurring, high-volume customer communication and print production.
The generalized solution receives customer-supplied PDF data, validates incoming files, separates faulty documents, transforms valid records, generates personalized German customer letters, applies postal registration formatting, performs production sorting, and creates print-ready output.
Key capabilities
- Automated recurring PDF-to-print processing
- Validated incoming customer documents
- Separated faulty PDFs into a controlled review queue
- Transformed valid data into structured production records
- Generated personalized German customer letters
- Applied postal registration and sorting rules
- Created print-ready output and operational reporting
Interactive workflow simulation
Open ↗
SELECTED WORK
Project areas
These summaries describe capability areas without exposing confidential client data.
01
Automated Data Workflows
Reusable workflows for importing, cleaning, validating and transforming high-volume customer data.
Quadient · Excel · CSV · QA02
Personalised Communications
Data-driven print and email outputs with personalisation, postal preparation and production controls.
VDP · Print · Email · PDF03
Business Analytics
Dashboards and reports that identify trends, support pricing decisions and communicate results clearly.
Power BI · Tableau · SQLACADEMIC PROJECTS
Selected data science and machine learning projects
Projects completed during my master's studies in applied mathematics, data science and computational intelligence.
01
SEIR Epidemiological Model
A mathematical modelling project focused on simulating the spread of infectious diseases using the Susceptible–Exposed–Infected– Recovered model.
02
Machine Learning Classification
A classification project covering data preparation, model training, comparison and evaluation using machine learning methods.
03
Time-Series Prediction Using Recurrent Models
A time-series forecasting project exploring recurrent neural-network models for learning patterns in sequential data and generating predictions.
04
Malaria Data Analysis Using R
An exploratory data-analysis project using R to investigate malaria data, identify patterns and communicate findings through statistical analysis and visualisation.
EDUCATION
Academic background
2018 — 2023
M.Sc. Applied Mathematics for Networking & Data Science
Mittweida University of Applied Sciences, Germany2009 — 2014
B.Sc. Mathematics
Shahjalal University of Science and Technology, BangladeshCONTACT
Let’s connect.
I’m open to opportunities involving data management, analytics, workflow automation and data science.