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Hi, I'm Saket Kumar, a Data Scientist with two years of hands-on experience in developing, optimizing, and deploying machine learning models. I have a strong background in Python, SQL, and cloud tools, and I am passionate about creating production-ready ML solutions that deliver valuable insights. I enjoy working on both academic and industry projects, constantly improving models and workflows to drive impact. Currently based in Dresden, Germany, I have worked with diverse teams developing pipelines and APIs, analyzing X-ray images using deep learning, and designing neural networks for time series forecasting. I thrive in collaborative environments where I can leverage my skills in data engineering, MLOps, and deployment to bring machine learning models to production efficiently.…Hi, I'm Saket Kumar, a Data Scientist with two years of hands-on experience in developing, optimizing, and deploying machine learning models. I have a strong background in Python, SQL, and cloud tools, and I am passionate about creating production-ready ML solutions that deliver valuable insights. I enjoy working on both academic and industry projects, constantly improving models and workflows to drive impact. Currently based in Dresden, Germany, I have worked with diverse teams developing pipelines and APIs, analyzing X-ray images using deep learning, and designing neural networks for time series forecasting. I thrive in collaborative environments where I can leverage my skills in data engineering, MLOps, and deployment to bring machine learning models to production efficiently.

Saket Kumar

Data Scientist, Developer, AI Engineer, +3

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Hi, I'm Saket Kumar, a Data Scientist with two years of hands-on experience in developing, optimizing, and deploying machine learning models. I have a strong background in Python, SQL, and cloud tools, and I am passionate about creating production-ready ML solutions that deliver valuable insights. I enjoy working on both academic and industry projects, constantly improving models and workflows to drive impact. Currently based in Dresden, Germany, I have worked with diverse teams developing pipelines and APIs, analyzing X-ray images using deep learning, and designing neural networks for time series forecasting. I thrive in collaborative environments where I can leverage my skills in data engineering, MLOps, and deployment to bring machine learning models to production efficiently.…Hi, I'm Saket Kumar, a Data Scientist with two years of hands-on experience in developing, optimizing, and deploying machine learning models. I have a strong background in Python, SQL, and cloud tools, and I am passionate about creating production-ready ML solutions that deliver valuable insights. I enjoy working on both academic and industry projects, constantly improving models and workflows to drive impact. Currently based in Dresden, Germany, I have worked with diverse teams developing pipelines and APIs, analyzing X-ray images using deep learning, and designing neural networks for time series forecasting. I thrive in collaborative environments where I can leverage my skills in data engineering, MLOps, and deployment to bring machine learning models to production efficiently.

Available to hire

Hi, I’m Saket Kumar, a Data Scientist with two years of hands-on experience in developing, optimizing, and deploying machine learning models. I have a strong background in Python, SQL, and cloud tools, and I am passionate about creating production-ready ML solutions that deliver valuable insights. I enjoy working on both academic and industry projects, constantly improving models and workflows to drive impact.

Currently based in Dresden, Germany, I have worked with diverse teams developing pipelines and APIs, analyzing X-ray images using deep learning, and designing neural networks for time series forecasting. I thrive in collaborative environments where I can leverage my skills in data engineering, MLOps, and deployment to bring machine learning models to production efficiently.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Scientist at Packwise GmbH

July 31, 2025 - August 1, 2025

Developed and deployed a concatenated multi-model ML pipeline for client-specific shipping label layouts trained on limited data and delivered as a Flask-based RESTful API integrated into the Packwiseflow system. Built an ML model to predict the correctness of device locations derived via cell triangulation by processing signal parameters and validating predictions against GPS data; preprocessed and filtered device data using SQL.

Working Student at Fraunhofer IKTS

January 31, 2025 - August 1, 2025

Designed and implemented a deep learning solution for solder joint X-ray image analysis, integrating a patch detection algorithm that improved overall workflow accuracy by 15 to 17%. Refactored the existing segmentation model to support high-resolution image inputs, significantly improving prediction quality and scaling the model across different clients with varied test data.

Working Student at Vodafone Chair

August 31, 2024 - August 1, 2025

Developed and optimized multiple neural network architectures (DNN, CNN, LSTM, Transformer Encoder, and hybrid variants) for time series forecasting. Refactored the entire pipeline into a class-based, modular framework with JSON-driven configuration management and CLI overrides for flexible training control. Utilized the TU Dresden HPC cluster to execute parallel model training via Bash shell scripts with precise compute resource control, introducing a technique to preserve model parameters under fixed input configurations for consistent comparisons across varied hyperparameter configurations.

Working Student at TU Dresden

July 31, 2023 - August 1, 2025

Developed a Python-based interface for OPC UA data sources utilizing libraries for data processing, XML parsing, and visualization to enable real-time monitoring of temperature and pressure sensor data for system optimization. Implemented DEXPI-compliant data models to automate creation, validation, and exchange, ensuring consistent and interoperable data across industrial platforms.

Data Engineer I at Wipro Technologies

September 30, 2022 - August 1, 2025

Integrated Callyzer API to extract real-time sales and customer data followed by transformation and loading into a SQL database, developing reporting systems for user behaviour insights. Developed Python web scrapers with Beautiful Soup to extract product details and sales rankings from Amazon seller pages to generate product performance and competitor analysis. Built data pipelines extracting sales data from Google Sheets, transforming it for Power BI, and creating interactive dashboards for performance monitoring and growth insights.

Data Scientist at Packwise GmbH

July 31, 2025 - August 1, 2025

Developed and deployed a concatenated multi-model ML pipeline for client-specific shipping label layouts, handling limited data and delivering a Flask-based RESTful API integrated into the Packwiseflow system. Built an ML model to predict the correctness of device locations derived via cell triangulation by processing signal parameters and validating predictions against GPS data, including preprocessing and filtering device data using SQL.

Working Student at Fraunhofer IKTS

January 31, 2025 - August 1, 2025

Working Student at Vodafone Chair

August 31, 2024 - August 1, 2025

Developed and optimized multiple neural network architectures (DNN, CNN, LSTM, Transformer Encoder and hybrid variants) for time series forecasting. Refactored the entire pipeline into a class-based, modular framework with JSON-driven configuration management and CLI overrides for flexible training control. Utilized the TU Dresden HPC cluster for parallel model training via Bash shell scripts with compute resource control, and introduced a technique to preserve model parameters for consistent comparisons across hyperparameter configurations.

Working Student at TU Dresden

July 31, 2023 - August 1, 2025

Developed a Python-based interface for OPC UA data sources using libraries for data processing, XML parsing, and visualization to enable real-time monitoring of temperature and pressure sensor data for system optimization. Implemented DEXPI-compliant data models to automate their creation, validation, and exchange, ensuring consistent and interoperable data across industrial platforms.

Data Engineer I at Wipro Technologies

September 30, 2022 - August 1, 2025

Integrated Callyzer API to extract real-time sales and customer data, transforming and loading it into SQL databases and developing a reporting system for user behavior insights. Created a Python web scraper using Beautiful Soup for extracting product details and sales rankings from Amazon seller pages to analyze product performance and competitors. Developed Python scripts to extract and transform product data from MongoDB to SQL databases supporting catalogue management. Built data pipelines extracting sales data from Google Sheets, transforming it for Power BI, and creating interactive dashboards for performance monitoring and growth insights.