Abdul Kousa
(+45) 42207177
Copenhagen, DK
Skills
Big Data Processing
Data Analysis & Visualization
Machine Learning & Deep Learning
Python
SQL
Git
Azure Databricks
PySpark
PyTorch
Languages
English - Fluent
Danish - Advanced
Arabic - Fluent
I'm a passionate data scientist driven by the potential of data to fuel innovation and drive decisions. My focus is to study large sets of data to draw meaningful inferences using a variety of statistical techniques — including data analysis, machine learning, deep learning and time series. This is where my key skills and interests combine.
With a background in data science, machine learning, and mathematical modeling, complemented by practical experience, I am able to analyze big data sets to uncover patterns and trends that lead to actionable business insights and help organizations solve complicated problems or identify opportunities for revenue and growth.
Leveraged data science and machine learning tools, working with Python, MicroPython and diverse data types, to enhance diagnostic support systems for patient O2 therapy.
Accelerated prototype production speed by around 20%, resulting in a one‑month time‑saving and cost reduction by streamlining processes and improving efficiency.
Developed strong skills in communicating complex technical details to stakeholders, while actively engaging in system development, including programming, testing, data modeling, analysis and marketing.
Assisted lead teachers in teaching 3 key data science courses at DTU, including:
Computational Data Science Tools |
Social Data Analysis & Visualization |
Social Networks
Contributed to improved students' understanding of data science concepts, and mentored students in completing approximately 10 real-world data science projects using: Python, Pandas, PySpark, Scikit-Learn, PyTorch, and SQL.
Developed strong skills in communication, problem-solving, and leadership, as well as data preprocessing, analysis, visualization and predictive modelling.