Y
Yashashree reddy Karri
About
Detail
Andhra Pradesh, India
Résumé
Jobs
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Data Engineer / Data Scientist (AIML)GainsightJul 2024 - Current (2 years 4 months)• Designed and implemented end-to-end ETL pipelines to ingest data from APIs, Excel, and SaaS platforms into Gainsight NXT.
• Performed data cleaning, transformation, and normalization to ensure high-quality datasets for analytics.
• Built scalable data models to support customer analytics, churn prediction, and lifecycle tracking.
• Developed and optimized dashboards and reports to analyze customer health scores, engagement, and adoption metrics.
• Applied data analysis techniques to identify trends, anomalies, and business insights.
• Automated workflows using rules engines to trigger actions based on real-time customer data.
• Implemented data validation and monitoring frameworks to maintain data integrity a- SData Scientist / Data AnalystSmartknowersAug 2023 - Jul 2024 (1 year)• Performed exploratory data analysis (EDA) to uncover patterns, correlations, and trends in datasets.
• Built and deployed machine learning models for classification and predictive analytics.
• Designed data preprocessing pipelines including feature engineering, encoding, normalization, and handling missing values.
• Applied statistical techniques and hypothesis testing to validate data insights.
• Conducted model evaluation using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC.
• Performed hyperparameter tuning and cross-validation to improve model performance.
• Created visualizations and dashboards to communicate insights to stakeholders.
• Worked with large datasets to derive action - Data Scientist / Machine Learning EngineersonataMar 2022 - Apr 2023 (1 year 2 months)• Built deep learning models (CNN, RNN, GRU) for predictive maintenance and anomaly detection.
• Developed a Conditional GAN for data augmentation, improving recall and model performance on rare events.
• Designed time-series forecasting models to predict equipment health and remaining useful life.
• Built and maintained data pipelines for ingesting and processing sensor data streams.
• Implemented real-time data processing for anomaly detection and alerting systems.
• Developed MLOps pipelines using AWS (SageMaker, Lambda) for automated training and deployment.
• Managed model versioning, monitoring, and retraining using MLflow.
• Integrated model outputs into downstream systems for decision-making and au
Education
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- Master of Science in Computer ScienceIllinois Institute of TechnologyJan 2025Chicago, IL
- GBachelor of Engineering in Computer Science and Business SystemsGITAM Deemed to be UniversityJan 2023Visakhapatnam, India
Projects (professional or personal)
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- PeerTherapy – AI-Driven PlatformPersonal Project• Designed backend systems for real-time chat data processing and storage.
• Applied NLP techniques for sentiment analysis and user support recommendations.
• Built analytics pipelines to track engagement and user behavior.
• Ensured secure and privacy-focused data handling. - GPS-Based Vehicle Theft Detection SystemPersonal Project• Built real-time data ingestion pipelines using GPS-based tracking.
• Processed streaming data for anomaly detection and alert generation.
• Designed dashboards for monitoring vehicle activity and alerts.
• Applied data analytics to improve detection accuracy and response time. - Multi-Agent GenAI Enterprise Automation SystemPersonal Project• Built a multi-agent system using LangChain, LangGraph, and RAG for enterprise workflow automation.
• Designed data pipelines for document ingestion, embedding generation, and semantic retrieval.
• Integrated vector databases for efficient information retrieval.
• Automated generation of BRDs, data mappings, and test cases using LLMs.
• Applied prompt engineering to improve response quality and consistency.
• Developed a dashboard for role-based interaction and workflow execution.