Ashritha Gugire

About Ashritha Gugire

Data Scientist and Machine Learning Researcher with 4+ years of experience developing…

Experience

1. Data Scientist

   Deloitte

   Apr 2024 — Present · US

   Developed advanced anomaly detection system using graph-based techniques, Isolation Forest, Autoencoders, and clustering methods (K-Means, DBSCAN) on record datasets, reducing false positives by 20% for real-time operational monitoring. • Engineered ensemble models (XGBoost, Random Forest, AdaBoost) for user behavior prediction with 18% accuracy improvement, validated through Monte Carlo simulations and statistical hypothesis testing. • Designed multi-scale anomaly detection framework using Hidden Markov Models across 10M+ mobilityrecords and NetworkX knowledge graphs, identifying four distinct anomaly types and revealingcounterintuitive behavioral patterns during emergency situations with bidirectional texttrajectory conversion capabilities. • Built scalable MLOps pipelines with MLflow, FastAPI, Docker, AWS EC2, and Weights & Biases for continuous model deployment, integrating NLP frameworks (spaCy, BERT, GPT, LangChain, RAG) for Named Entity Recognition and clinical document analysis from EHR data. • Applied time series forecasting (Prophet, LSTM) for prescriptive planning and created Tableau/Power BI dashboards for anomaly trends visualization, collaborating with Leadership to translate business requirements into actionable data-driven strategies.

Education

• George Mason University

  Master's degree

• Vignana Bharathi Institute of Technology

  Bachelor's degree