
Aishwarya Tandel
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Aishwarya Tandel
• Designed and deployed a RAG-based chatbot (Streamlit, LangChain, FAISS, OpenAI, Docker) to streamline knowledge access, validated with RAGAS, BERT Score, and DeepEval, improving contextual relevance & reducing manual query resolution time by 30%. • Created Power BI dashboards to monitor data quality, enabling 15+ stakeholders to take corrective action faster. • Optimized large-scale data workflows with PySpark, Pandas, & Azure Databricks, improving accessibility of datasets for downstream AI projects.
- 6 Monate, Okt. 2024 - März 2025
Master Thesis Student
Siemens Healthineers
•Developed an anomaly detection pipeline on 6M+ CT scanner logs using Random Forest, XGBoost, Isolation Forest, LSTM, and BiLSTM, improved early failure detection and achieved a 79.6% F1 score with Random Forest. •Engineered 970+ features via PySpark, Pandas, NumPy pipelines on Azure Databricks, improving model robustness. •Applied resampling and class-balancing techniques to imbalanced datasets, increasing detection accuracy for rare failure events.
- 1 Jahr und 11 Monate, Nov. 2022 - Sep. 2024
Working Student
Siemens Healthineers
• Automated daily reporting with Power BI, eliminating 5+ manual alert emails/day and reducing reporting time by 80%. • Built ETL pipelines across MS SQL & MongoDB, feeding Power BI reports used by 30+ stakeholders, enabling real-time access to KPIs. • Created 10+ monitoring dashboards to track system uptime and API usage across 10K+ daily requests, improving system reliability.
- 4 Jahre und 1 Monat, Juni 2018 - Juni 2022
System Engineer
Tata Consultancy Services India
•Developed and maintained a full-stack Java application (Spring Boot, Angular, SQL) serving 500+ users. •Delivered 50+ features and enhancements in an Agile environment, improving application performance and usability. •Increased unit test coverage from 30% to 80% with Junit and Mockito, ensuring high code reliability. •Mentored junior developers and contributed to CI/CD pipelines (Jenkins, GitHub, SonarQube), enhancing delivery efficiency.
Ausbildung von Aishwarya Tandel
- Bis heute 3 Jahre und 7 Monate, seit Apr. 2022
M.Sc. Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg
Academic courses: - Deep Learning - Machine Learning for Time Series - Machine Learning in Signal Processing - Artificial Intelligence - Pattern Recognition - Pattern Analysis - Selected Topics in Mathematics of Learning - Business Intelligence - Data Science Survival Skills
- 4 Jahre, Juni 2014 - Mai 2018
Bachelor of Engineering in Computer Engineering
University of Mumbai
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
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