Dhairya Shaishav Parikh
Data Science Intern
About
Data Science graduate student at the University of Maryland, College Park (GPA: 4.0) with hands-on experience building production-ready machine learning and deep learning systems. I have worked on computer vision, time-series forecasting, and tabular learning problems, delivering measurable improvements in model accuracy, efficiency, and scalability. Previously, I interned at Pro Thoughts Solutions and Protiviti, where I developed advanced ML models, RAG-based conversational AI systems, and MLOps pipelines supporting low-latency, high-throughput deployments. Proficient in Python, PyTorch, TensorFlow, SQL, and modern ML tooling, I am actively seeking data science and machine learning roles where I can apply data-driven insights to real-world impact.
United States
College Park
Computer Software
Resemblyzer, Real-Time Alerts, System Integration, Deep Learning, Amazon Web Services (AWS), R (Programming Language), Machine Learning, Email Encryption, Traffic Signals, Applied Machine Learning, Deployment Planning, Plotly.js, Modeling Languages, Inventory Forecasting, Conversational AI, Data Privacy, Docker Products, TensorFlow, Trend Forecasting, Deployment Management
Experience
Data Science Intern
Pro Thoughts Solutions
• BuiltXGBoost and LightGBMmodels inAgile environment, improving classification accuracy by 18% reducing training time by 30% • Developed CNNs with Keras for defect detection, cutting false positives by 22% and achieving 93% accuracy. • Designed ARIMA and Prophet models for demand forecasting, lowering forecast error by 32% and and opti- ing inventory planning.
Data Security and Privacy Intern
Protiviti Global Business Consulting
• Constructed conversational AI system using Python, LangChain, and Ollama LLMs with RAG architecture and ChromaDB vector database for, achieving 95% query accuracy • Engineered CrewAI & LiteLLM framework with 10 REST endpoints serving 50+ users at 500 req/min, cutting response time to under 2 seconds • Created MLOps infrastructure with automated configuration management, reducing deployment time by 70% and enabling zero downtime updates via RESTful API integration
Education
University of Maryland
Data Science
Vellore Institute of Technology
Computer Engineering
Dhairya Shaishav Parikh's Contact Information
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