Exploring the application of advanced Artificial Intelligence (AI) techniques, including GenAI, ML models, and Deep Learning architectures, to enhance intelligent personal assistance systems in the automotive industry. The focus is on leveraging these technologies to improve user interaction, personalization, and predictive capabilities, thereby driving innovation and operational efficiency.

•Collaborated on digital end customer products for public charging of BMW electrified vehicles.•Developed a modular concept for automated integrity and Quality Monitoring of delivered content in the MyBMW/Mini smartphone app.•Leveraged NLP, ML, and spaCy to build a model for automatic extraction and integration of tariff data and charging stations into a comprehensive database.•Created a PowerBI dashboard for monitoring the quantity and quality of OCPI 2.2 compliant content from a supplier.•Managed direct supplier contact at the management level.

• Applied machine learning algorithms like random forests, neural networks, and clustering models toanalyze large datasets and build predictive and descriptive models using Scikit-Learn and TensorFlow.• Extracted features from complex, multi-dimensional data like images, text and time-series usingtechniques like computer vision, NLP and dimension reduction to prepare data for modeling.• Collaborated with researchers to refine models, code and optimize performance, documenting work in Jupyter Notebooks and writing technical reports communicating results to stakeholders.

1. Leveraged cloud-based data analytics solutions to store, process, and analyze large volumes of procurement data, ensuring scalability and real-time access for the material procurement team.2. Applied advanced analytics techniques (regression analysis, time series forecasting, clustering algorithms) to uncover hidden patterns, optimize material procurement strategies, and make proactive data-driven decisions.3. Utilized BI tools Tableau, Power BI to create interactive reports and visualizations, enabling stakeholders to track KPIs, gain actionable insights, and drive informed decision-making based on real-time data.4. Implemented data governance practices, data quality assurance measures, and collaborated cross-functionally with IT and procurement stakeholders to ensure accurate, reliable, and integrated procurement data, fostering a data-driven culture within the material procurement function.

Worked in the real-time environment with the Quality Assurance Team and contributed to the Live project ‘BenchVue’ and helped the team in testing the Company’s Software ‘BenchVue’.Key Responsibilities:- • Writing new Test Cases in Zephyr and executing test cycles in JIRA.• Performing as well as conducting different testing and finding bugs.• Helping the team in writing the Scripts to automate portions of the testing.• Replicating customer-reported bugs in different environments.• Reporting as well as logging bugs and then discussing fixes with the developer's team.