Sadia Khalid-Master of Science in Interdisciplinary Mathematics

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Experience
Working Student - Data Engineering
Varengold Bank
- Automated manual regulatory reporting processes using Python, streamlining data workflows and reducing overhead.
- Extracted and cleaned unstructured and structured data (including JSON) using Python (pandas), enhancing data accessibility and audit readiness.
- Supported ad-hoc data requests by building custom SQL queries and transforming data using PowerQuery.
Project Intern - Machine Learning
Deutsche Giganetz
- Processed geospatial data using Python and MATLAB, improving AI-driven segmentation models.
- Conducted data preprocessing and feature engineering to enhance machine learning model accuracy.
Research Assistant
Pakistan Institute of Nuclear Science and Technology
- Collected, cleaned, and analyzed structured data to identify trends, improve data quality, and generate actionable insights supporting cross-functional collaboration and reporting.
- Built automated image classification workflows using supervised machine learning in Python, including dataset preparation, feature extraction, and result validation.
- Performed data analysis to support classification tasks, including preprocessing, segmentation, and performance evaluation of image-based models.
Research Assistant
Pakistan Institute of Engineering and Applied Sciences
- Conducted data analysis and processing to support reactor modeling research, including simulation output evaluation and results visualization.
- Supported university-level administrative workflows, including documentation, academic coordination, and exam logistics.
- Assisted in teaching undergraduate engineering courses by preparing materials, conducting tutorials, and helping students during lab sessions and evaluations.
Teaching Assistant
National University of Sciences and Technology
- Taught undergraduate Mathematics courses at NUST, delivering lectures and supporting student learning through tutorials and assessments.
Industry experience
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Experienced in Energy, Education, Banking and Finance, and Telecommunication.
Business area experience
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Experienced in Research and Development, Business Intelligence, Information Technology, and Finance.
Languages
Education
Hamburg University of Technology (TUHH)
Master of Science, Interdisciplinary Mathematics · Interdisciplinary Mathematics · Hamburg, Germany
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Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Sadia is based in Hamburg, Germany.
Sadia speaks the following languages: English (Advanced), German (Elementary).
Sadia has at least 8 years of experience. During this time, Sadia has worked in at least 4 different roles and for 5 different companies. The average length of individual experience is 2 years and 8 months. Note that Sadia may not have shared all experience and actually has more experience.
Based on recent experience, Sadia would be well-suited for roles such as: Working Student - Data Engineering, Project Intern - Machine Learning, Research Assistant.
Sadia's most recent position is Working Student - Data Engineering at Varengold Bank.
In recent years, Sadia has worked for Varengold Bank, Deutsche Giganetz, and Pakistan Institute of Nuclear Science and Technology.
Sadia is most experienced in industries like Energy, Education, and Banking and Finance. Sadia also has some experience in Telecommunication.
Sadia is most experienced in business areas like Research and Development, Business Intelligence, and Information Technology. Sadia also has some experience in Finance.
Sadia has recently worked in industries like Energy, Banking and Finance, and Telecommunication.
Sadia has recently worked in business areas like Research and Development, Business Intelligence, and Information Technology.
Sadia holds a Master in Interdisciplinary Mathematics from Hamburg University of Technology (TUHH).
The availability of Sadia needs to be confirmed.
Daily rate distribution
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Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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