Safa Sadiq
Data Scientist
Munich
Summary
Highly passionate data scientist with experience in developing and deploying machine learning models to solve business problems. Proficient in Python, R, and SQL, with a strong foundation in statistical analysis, data visualization, and deep learning techniques. Passionate about advancing machine learning research and eager to contribute to innovative projects in a Ph.D. Program.
Overview
3
3
years of professional experience
6
6
years of post-secondary education
3
3
Certifications
2
2
Languages
Work History
Working Student Data Science and Analytics
Infineon Technologies AG
Munich
06.2022 - Current
- Consolidated data from multiple sources to create a centralized data warehouse, improving data accessibility and reporting efficiency.
- Designed and implemented ETL pipelines, ensuring seamless data integration and transformation for project data, which enhanced data quality and reduced processing time.
- Conducted statistical analysis and applied machine learning techniques, such as Time Series Analysis and Forecasting, to uncover actionable insights from complex datasets.
- Developed and maintained interactive Tableau dashboards, enabling stakeholders to visualize key metrics and trends, which facilitated data-driven decision-making across the organization.
Associate Consultant Data Integration Frameworks
Systems Limited
Karachi
06.2021 - 11.2021
- Utilized business process modelling tools, such as BPMN and UML, to design and optimize automated workflows for external clients, enhancing operational efficiency and reducing manual intervention.
- Integrated data science techniques to analyze process performance and identify bottlenecks, leading to data-driven improvements and more effective automation solutions.
- Collaborated with cross-functional teams to identify process improvement opportunities, resulting in streamlined processes and significant cost savings for clients.
Education
Master of Science - Data Engineering and Analytics
Technical University Munich
Munich, Germany 10.2021 - 05.2024
Bachelor of Science - Computer Science
National University of Sciences and Technology
Islamabad, Pakistan 09.2017 - 06.2021
Skills
Machine Learning: Keras, Tensorflow, Pytorch, Scikit Learn
Certification
Structuring Machine Learning Projects
References
Name: Marcel Rene Mueller (Manager at Infineon)
Email: Marcel-Rene.Mueller@infineon.com
Name: Prof. Dr. Felix Dietrich (Master Thesis Supervisor)
Email: felix.dietrich@tum.de
Timeline
Working Student Data Science and Analytics
Infineon Technologies AG
06.2022 - Current
Master of Science - Data Engineering and Analytics
Technical University Munich
10.2021 - 05.2024
Associate Consultant Data Integration Frameworks
Systems Limited
06.2021 - 11.2021
Bachelor of Science - Computer Science
National University of Sciences and Technology
09.2017 - 06.2021
Structuring Machine Learning Projects
Deep Learning Specialization
Tableau Desktop Specialist
Similar Profiles
Khadija MasudKhadija Masud
Senior Product Marketing Specialist at Infineon Technologies AGSenior Product Marketing Specialist at Infineon Technologies AG
Chukwuma Mark OmefeChukwuma Mark Omefe
Functional Safety Engineer at Infineon Technologies AGFunctional Safety Engineer at Infineon Technologies AG
Vasudha PotdarVasudha Potdar
Design for Test Specialist at Infineon Technologies AGDesign for Test Specialist at Infineon Technologies AG