Ankit G.
Team Lead @Materna
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WORK HISTORY
Team Lead @Materna
Dortmund, DE
EDUCATION
Ruhr University Bochum
Doctor of Philosophy (Ph.D.), Computational Materials Science
Ruhr University Bochum
Masters of Science, Materials Science and Simulation
College Of Technology, G.B.P.U.A&T, Pantnagar
Bachelor of Technology (B.Tech.), Production Engineering
ABOUT ANKIT G.
As a seasoned Data Scientist in the Generative AI and NLP domain at Schwarz IT, I have been leveraging Large Language Models to solve complex business problems across the Schwarz Group. My recent work has been focused on developing a Credit Scoring Risk Classification AI Model for LIDL Germany Online Shop, which is projected to yield a net yearly business profit in the eight-figure range in Euros.My expertise lies in conceptualizing data science frameworks, authoring machine learning codebases in Python, leading their development, and most importantly, bridging the gap between the Business Departments and extracting the Business Value using Machine Learning. I have a strong track record in performing comprehensive data analysis, from collection and exploration to feature engineering and hyperparameter tuning. I have also developed specialized models for fraud detection and implemented automated mechanisms for detecting data drift and retraining models.In addition to my technical prowess, I have exhibited robust leadership and collaboration skills. I have collaborated intensively with business experts and data engineers, maintained regular interaction with stakeholders, and participated in the cloud deployment of machine learning models.Beyond my project work, I have contributed to the broader data science community within my organization. I have conducted interviews, moderated knowledge sharing sessions, and conducted company-wide trainings. I have also presented technical talks on advanced topics such as Graph Neural Networks and Transformer Models.My diverse experience and unwavering commitment to remain at the cutting edge of AI and machine learning innovations position me as a valuable asset in any data-driven initiative. I am excited to continue leveraging my skills to drive impactful business solutions.
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