RUPANSHI BHADOURIA

Led the AI team in developing and implementing algorithms and hybrid models for automation and risk management, reducing penalties and operational costs by 10% in FY23. Analyzed financial and real-time data with Power BI, providing actionable insights that improved decision-making and client rule adherence. Created dashboards to visualize complex train network data, enabling stakeholders to make informed decisions quickly. Monitored KPIs to drive service improvements and meet performance targets.

Led a key part of the VALIDATE project, integrating AI-based prognostic models into clinical guidelines for acute stroke treatment. Developed and trained Neural Network and Random Forest models, increasing stroke outcome prediction accuracy by 5%. Conducted feature importance analysis using SHAP and Yellowbrick to identify critical factors affecting stroke outcomes.

Managed data quality assurance and databank operations for public transport networks in Hessen and Stuttgart, achieving 1+ million in cost savings. Utilized Talend, PostgreSQL, and MS Access for ETL tasks, optimizing data integration and transformation processes to streamline data flow. Utilized Python scripts to create technical reports, track performance metrics, and manage documentation using Confluence and Jira.

Developed and trained Random Forest model, Neural networks (CNN,RNN,ANN) and circular regression models to predict the dihedral packing angle between the helices. Investigated the optimal embedding dimensionality in Proteins for improved representation and analysis. Conducted PCA and statistical tests to explore the relationship between helix length and preferred packing lattices for amino acids. Leveraged deep learning algorithms to extract meaningful insights and improve predictive models.

Effectively tracked and recorded PCR test results, ensuring timely and precise data management. Proactively analyzed datasets , identifying trends and patterns that improved decision-making efficiency for patients by 98%. Managed daily reporting cycles with zero delays and applied pattern recognition to prevent service disruptions, enhancing data integrity. Leveraged Excel and SQL to analyze data, contributing in increase in operational performance.

Utilized Power BI and Excel to extract insights and generate reports, leading to a 20% reduction in support tickets and improving client satisfaction. Developed and maintained weekly data dashboards, enabling clear communication of complex findings to both technical and non-technical stakeholders. Identified product improvement opportunities by reviewing KPIs, implementing strategies that enhanced data management efficiency by 10% and reduced operational bottlenecks.

Developed engaging and interactive lesson plans to facilitate effective language learning and successfully assisted students clearing German A1-B2 Goethe Certification exams. Improved students' overall personality and communication skills in German through tailored teaching methods. Monitored and assessed student progress, providing individualized feedback and support.

Courses: Deep Learning, Data Mining, Machine Learning, Natural Language Processing, Probability and Statistics, Data Structure and Algorithms