Hello, I'm
Aishvarya Salvi
Data Science Graduate
Hello, I'm
Data Science Graduate
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3+ years
Software Engineering & Test Automation
MS in Data Science
BE in Computer Science
Data-driven professional with 3+ years of experience in analytics, machine learning, and data engineering. Proficient in Python, SQL, Spark, Kafka, and GCP, with expertise in building scalable ML pipelines and recommendation engines. Adept at real-time data processing, model deployment, and interactive dashboard development. Strong foundation in MLOps, CI/CD, and containerization using Docker, Kubernetes, and Jenkins. Passionate about delivering actionable insights and production-ready solutions from complex datasets.
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Engineered a full-stack ALS-based recommendation engine on 2.7M+ RetailRocket events with optimized sparse matrix processing and real-time predictions, deploying a FastAPI backend + Streamlit frontend fully containerized with Docker Compose for scalable, production-ready delivery.
Built a real-time streaming pipeline processing 10K+ Kafka events per min with Spark Structured Streaming, storing data in PostgreSQL and delivering Logistic Regression churn predictions with 85% accuracy via FastAPI in less than 200ms, and developed a Streamlit dashboard with 15-second auto-refresh.
Designed and deployed a machine learning pipeline for heart attack risk prediction, performing data wrangling, feature engineering, and exploratory analysis on 20+ clinical and lifestyle variables, implementing Logistic Regression, Random Forest, and XGBoost models, managing 7+ ML experiments with MLflow/DagsHub.
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