Nidhi Sihag
@nidhisihag
Results-driven Data Scientist with expertise in machine learning.
GermanyWhat I'm looking for
I am a results-driven Data Scientist with over two years of industry experience and a Master's degree in Information Technology from the University of Stuttgart. My expertise lies in developing machine learning and deep learning models for various applications, including forecasting, computer vision, and natural language processing. I am committed to leveraging my technical and analytical capabilities to drive data-driven decision-making and enhance organizational performance.
At K2 Systems GmbH, I spearheaded the RoofScan project, which involved detecting roof types and solar panel potential from satellite imagery. I successfully trained in-house YOLO-based models for roof segmentation and obstacle detection, achieving over 95% prediction accuracy in sales forecasting models. My ability to visualize data trends and communicate insights effectively to diverse teams has been instrumental in optimizing stock planning and improving operational efficiency.
In addition to my professional experience, I have worked on various personal projects that showcase my skills in machine learning and natural language processing. I authored a research paper analyzing automatic segmentation techniques, contributing to the academic community. I am passionate about exploring innovative solutions in a collaborative environment and continuously seek opportunities to grow and develop my skills.
Experience
Work history, roles, and key accomplishments
Junior Data Scientist
K2 Systems GmbH
Dec 2022 - Present (2 years 8 months)
Spearheaded the RoofScan project, utilizing in-house YOLO-based models for roof segmentation and obstacle detection from satellite imagery. Designed and implemented a sales forecasting model for mounting systems using historical SAP data, achieving over 95% prediction accuracy.
Working Student
Storeserver Systems GmbH
Jan 2021 - Apr 2022 (1 year 3 months)
Developed and optimized existing software solutions in Python, enhancing functionality and scalability, which contributed to reduction in processing time for key operations across the firm. Managed machine learning models for the classification of extensive datasets, achieving an accuracy improvement of 15% over previous iterations while handling huge datasets.
Machine Learning Intern
Storeserver Systems GmbH
May 2021 - Oct 2021 (5 months)
Analyzed, developed algorithms, and deployed solutions based on real-world data, improving product prediction score and accuracy from 60% to 90%. Assisted in the implementation and deployment of systems for natural language input and processing, data collection, and machine learning model training.
Android Developer Intern
Navitus
Jan 2019 - Jun 2019 (5 months)
Worked on a Smartphone benchmarking project as an Android Developer, implementing an AccessibilityService-based benchmarking technique. This provided users with a personalized benchmark to test the real-world performance of their phones.
Education
Degrees, certifications, and relevant coursework
University of Stuttgart
Master of Science, Information Technology
Completed a Master of Science in Information Technology. Focused on advanced topics in IT, preparing for a career in data science.
YTYMCA University of Science and Technology
Bachelor of Technology, Information Technology
Studied Information Technology at YMCA University of Science and Technology. Gained foundational knowledge in IT principles and practices.
Availability
Location
GermanyAuthorized to work in
Job categories
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