Bashar Arous — Data Scientist

Profile

Data scientist with a focus on computer vision, combining strong Python and SQL skills with deep learning experience (CNNs, transfer learning, statistical validation) and hands-on analytics practice — A/B test design, metric definition, and modeling large datasets from raw events. Comfortable translating business problems into ML objectives and measuring real-world impact; keen to grow into search, retrieval, and personalization modeling close to production systems.

Experience

Data Analyst · Sidekick Health

02/2023 – 03/2025 · Berlin

Ran A/B tests on in-app nudges and behavior-change features, increasing feature adoption by 14% and boosting user engagement.
Modeled analytics-ready datasets from raw event data in SQL, standardizing metric definitions for scalable analysis and experimentation.
Built and maintained automated data pipelines with scheduled transformations and quality checks, cutting manual reporting.
Developed Tableau reports on cohort behavior and feature adoption that drove data-backed feature prioritization.

Education

MSc Data Science · University of Potsdam

04/2021 – 02/2023

Thesis: Treatment Effects Identification in Multimodal N-of-1 Trials — A Transfer Learning Approach (grade 1.7). Built CNN and transfer-learning pipelines for image classification, with linear mixed models for treatment-effect identification and Grad-CAM visualizations for interpretability.

BSc Electronics Engineering · Tishreen University

09/2013 – 09/2018

Communications engineering specialization. Includes an exchange semester in the Fundamentals of Data Science at the University of Barcelona (2019).

Skills

Python
SQL
PyTorch
Scikit-Learn
A/B Testing
BigQuery
DBT
Airflow
Docker
CI/CD
MLflow
Tableau
LLMs & RAG
LangChain
Git
R

Languages

Arabic — native
English — C1
German — B1
French — B1

Honours & Awards

DAAD Scholarship for Academic Excellence — 2021
Hungarian Scholarship Award — 2020
ACM-ICPC contestant — 2017, 2018