Hi There,
I'm Md. Shamsul Haque
i am into
About Me
Driven and results-oriented Master's student in Data Science, with a Bachelor's degree in Software Engineering and extensive experience in developing scalable Data Pipelines, Data Modeling, and implementing Big Data Frameworks. Proficient in Python, Java, JavaScript and SQL, with strong expertise in Algorithms, Data Structures, and Software Development principles. Experienced in modern Cloud Technologies (AWS, Azure), Database Design, and Workflow Automation, with a passion for optimizing Data Infrastructure and driving business insights through innovative solutions.
email : shamsull.haquee@gmail.com
place : Mülheim an der Ruhr, Germany
07/2023 - present
Achievements/Tasks
10/2020 - 02/2021
Achievements/Tasks
04/2021 - 06/2023
Achievements/Tasks
Regression, Support Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), and Decision Trees.
Artificial Neural Networks (ANN), Shallow Neural Networks, Deep Neural Networks (DNN), CNN, RNN, R-CNN, and YOLO.
Python (Pandas, Scikit-learn, NumPy, PySpark, PyTorch, Lightning, Scipy, Skimage, Pydicom, HuggingFace Transformers, mlflow) / R (tidyverse, ggplot)/ Java / TypeScript / JavaScript / Scala / C#/ C++.
Apache Airflow, Luigi, Prefect, Apache NiFi.
dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache Kafka.
Snowflake, Google BigQuery, Hive, Amazon Redshift.
Apache Hadoop, Apache Spark (PySpark), Dask.
AWS (S3, Lambda, Athena, Redshift), Google Cloud, Microsoft Azure, Azure Data Engineering.
MySQL, SQL Server, PostgreSQL, MongoDB, Datamodelling und Schemadesign (Star Schema, Dimensional Modeling).
Angular, React.js, Node.js, Django, Express.js, Spring Boot, Docker, Kubernetes, Jira, Power BI, Tableau, MS PowerApps.
Jenkins, GitLab CI, Azure DevOps. Git, GitHub, GitLab, Linux, Shell (Bash and Zsh)
Prometheus, Grafana, ELK Stack.
Education is not the learning of facts, but the training of the mind to think.
University of Bielefeld
University of Duisburg-Essen
Topic
Design, Implementation, and Validation of an Experimental Setup for
Determining Motion Primitives of an Existing Ship Model.
Skills Required
Python, C++ (OOP), Matplotlib, Robot Operating Systems (ROS2),
Rviz2, Linux, Graphical User Interface (GUI), MQTT, OptiTrack Motive.
Tasks/Achievements
Research on experimentally determined motion primitives and trajectory planning in a
maritime context • Theoretical and practical understanding of the design of sea routes
in order to understand the non-linear dynamics of ship movements • Generating
motion primitives from recorded tracks and storing the data in a suitable format (e.g.
Yaml).
