Freelancer profile translated to English.

Description

I am a Data Scientist with a focus on Machine Learning, Predictive Analytics, and Business Intelligence. My approach combines technical excellence with business understanding – I develop data-driven solutions that create directly measurable added value.

In recent years, I have worked on projects with companies such as T-Systems, Telekom, and Palantir Foundry. There, I developed ML models (LSTM, ARIMA, Fraud Detection, Sentiment Analysis), automated data processes, and implemented BI solutions in Power BI and KNIME.

My focus areas:

• Development of Machine Learning models (Scikit-Learn, TensorFlow, PyTorch)

• Data analysis, feature engineering & model optimization

• BI & Reporting with Power BI, KNIME, Tableau

• SQL and Python-based data pipelines

• Working in cloud environments (AWS, Azure)

• KPI analyses, campaign evaluation, and recommendations for action

I support companies in extracting actionable insights from data – from raw datasets to productive dashboards or models.

Technologies & Tools:

Python, SQL, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Power BI, KNIME, Tableau, AWS, Azure, Git, JupyterLab, Palantir Foundry

Availability:

Remote or on-site in the Rhine-Main area (Frankfurt).

Industry field of expertise

Languages

Urdu
Native or bilingual
German
Fluent
English
Fluent

Workplace preferences

Can work on-site

Frankfurt am Main (up to 50km)

Telekom Deutschland GmbH
Data Scientist
TELECOMMUNICATIONS
January 2025 - Today (1 year and 5 months)
Bonn, Germany
Data Scientist – Customer Retention & Development
Responsible for data selection for targeted campaign outreach.
Development of data queries and selections for personalized marketing campaigns.
Conducting campaign performance analyses to evaluate the success of measures.
Derivation of recommendations for action based on data analyses to optimize future campaigns.
Python PySpark SQL Data Science Tableau Software
Deutsche Telekom AG
Data Scientist
TELECOMMUNICATIONS
August 2024 - January 2025 (5 months)
Bonn, Germany
AI Developer
Automated Applicant Management: Design and implementation of an AI-supported CV matcher to automate and increase efficiency in the application process.
Use of machine learning algorithms for improved selection and allocation of applicants.
Digitization and Web-based Tools: Contribution to the further development of the CV matcher as a web-based application to digitize the talent acquisition process and ensure an optimal user experience.
Deutsch Telekom Service
Data Scientist Palantir Foundry Platform
TELECOMMUNICATIONS
June 2024 - December 2024 (6 months)
SMS Feedback TNPS (Net Promoter Score) and Sentiment Analysis
Development of workflows in Foundry for data processing and analysis.
Implementation of algorithms for calculating the Net Promoter Score (NPS).