AZIMA ISLAM FARIHA
Data Scientist
Berlin
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management building production-grade machine learning models. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
4
4
years of professional experience
7
7
years of post-secondary education
3
3
Languages
Work History
AI & Knowledge Engineer
MVI PROPLANT Nord GmbH
Berlin
04.2022 - Current
- Project: Automated Quality Check of SAC Cable using Image AI
- Prototyped machine learning applications and quickly determined application viability.
- Identified new problem areas and researched technical details to build innovative products and solutions.
- Used Jira, Confluence, and Bitbucket to track progress, collaborate with team members, and manage code repositories.
- Utilized GCP (Google Could Platform) & MLflow to train model, and track results.
- Created bounding boxes for data annotations using LabelImg, and employed data augmentation techniques for model generalization.
- Developed a multi-labelling algorithm in Keras, and Tensorflow for improved classification accuracy.
- Used Object-Detection models to localize defects and developed a CNN model architecture for classification.
- Determination of the reliability of the model for individual defect types using GradCAM.
- Proved successful working within tight deadlines and a fast-paced environment.
Master Thesis Student in Image Analytics With AI
Munich RE
Munich
05.2021 - 10.2021
- Established a comprehensive and rigorous model to evaluate image augmentation tools as a means to increase robustness against natural corruptions for image classification.
- Conducted a total of 72 experiments using two model architectures, DenseNet-121 and Inception-ResNet-v2, on the Stanford Cars dataset.
- Worked well in a team setting, providing support, and guidance.
- Demonstrated creativity and resourcefulness through the development of innovative solutions.
Intern in Text Analytics With AI
Munich RE
Munich
10.2020 - 04.2021
- Worked in Natural Language Processing projects with public and in-house Python packages.
- Worked in an Agile environment with Microsoft Azure DevOps.
- Ran data updates and visualized results in Power BI.
- Queried SQL databases using Azure Data Studio, and worked with Azure Data Science Virtual Machines (DSVM) in Git environments.
- Annotated training data and used Zero-shot learning for
text classification. - Documented, and presented work results to stakeholders.
- Used critical thinking to break down problems, evaluate solutions and make decisions.
- Cultivated interpersonal skills by building positive relationships with others.
Test Automation Specialist
HUGO BOSS AG
Metzingen
03.2019 - 08.2020
- Automated, and documented testing scenario for SAP end- to-end processes, and web services for B2C Online Order Process, and Logistics Process for different order types.
- Provided high quality testing output and explanation of reports, model results, and proactive identification of improvements in automation processes.
- Communication with business people for automation requirements.
- Executing general usability tests for SCM (Supply Chain Monitoring) Dashboard.
Education
Master of Science - Data & Knowledge Engineering
Otto-von Guericke University
Magdeburg, Germany 05.2018 - 05.2021
Bachelor of Science - Computer Science & Engineering, Business Administration
BRAC University
Dhaka, Bangladesh 05.2013 - 05.2017
Skills
Data & Quantitative Analysis
Timeline
AI & Knowledge Engineer
MVI PROPLANT Nord GmbH
04.2022 - Current
Master Thesis Student in Image Analytics With AI
Munich RE
05.2021 - 10.2021
Intern in Text Analytics With AI
Munich RE
10.2020 - 04.2021
Test Automation Specialist
HUGO BOSS AG
03.2019 - 08.2020
Master of Science - Data & Knowledge Engineering
Otto-von Guericke University
05.2018 - 05.2021
Bachelor of Science - Computer Science & Engineering, Business Administration
BRAC University
05.2013 - 05.2017
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