Kanza Rasheed

Product Owner Data Scientist @ZEISS Group

Munich, DE

Driving ZEISS towards data-driven excellence through advanced analytics and AI-powered innovation-Spearheading the development of an advanced AI-powered system leveraging GPT-4 and LangChain for strategic funding topic mining, delivering global leads directly integrated into interactive PowerBI dashboards for informed investment decisions-Leading the design and implementation of a conversational, GenAI-driven research assistant, empowering non-technical stakeholders with predictive insights into funding trends and facilitating precise R&D forecasting-Independently designing, developing, and scaling a sophisticated forecasting engine deployed across four major ZEISS business units internationally, ensuring precision in sales revenue projections through integrated multi-pipeline analytics-Establishing and maintaining robust machine learning and classical time-series forecasting pipelines, featuring automated hyperparameter tuning across models such as Auto-ARIMA, Prophet, Holt-Winters, and advanced ML algorithms-Enhancing forecasting robustness and accuracy by integrating macroeconomic indicators, aligning predictive capabilities with ZEISS\' strategic financial objectives-Overseeing the successful implementation and rollout of a dynamic PowerBI Sales Dashboard, driving an 80% improvement in sales tracking efficiency across more than 10 global markets.

Università degli Studi di Padova

MS Data Science, Data Science

National University of Sciences and Technology (NUST)

Bachelor of Electrical Engineering (B.E.E.), Electrical, Electronics and Communications Engineering