Parita Dave

Applied AI Engineer with experience building AI-powered assistants, RAG applications, analytics platforms, and business-focused AI solutions using LLMs, FastAPI, Streamlit, and cloud technologies. Skilled in Generative AI, conversational AI, predictive analytics, and scalable AI application development with experience collaborating across business and technical teams.

Applied AI Specialist - CNDP Consulting Inc. - Remote

(2025-09 - 2026-05)

• Designed and implemented AI-powered assistants using GPT-4o, RAG architecture, vector search, and FastAPI.
• Built scalable AI applications integrating LLM APIs, embeddings, vector databases, and conversational AI capabilities.
• Developed intelligent workflows supporting requirement generation, business analysis, technical documentation, and contextual search using AI agents.
• Collaborated with stakeholders and cross-functional teams to identify AI use cases and translate business requirements into scalable AI solutions.
• Developed an AI-powered IT assistant supporting architecture design, deployment planning, and technical documentation generation.

Data Scientist / Analytics Engineer - ShyftLabs

(2022-02 - 2024-05)

• Researched and implemented Generative AI technologies, NLP workflows, and AI-powered applications for enterprise and startup use cases.
• Developed AI chatbot applications using Streamlit, RAG pipelines, and LLM-powered conversational interfaces.
• Built predictive analytics and forecasting applications supporting revenue prediction, anomaly detection, and operational analytics.
• Worked extensively with Python, SQL, Snowflake, and cloud-based analytics workflows.
• Collaborated with engineering, product, and business teams to deliver scalable AI and analytics solutions.

Research Assistant (Data Analyst / Scientist) - McGill University

(2020-11 - 2022-04)

• Performed statistical analysis and research modeling using Monte-Carlo simulation, synthetic population modeling, fuzzy matching, and record linkage techniques.
• Developed dashboards, reporting tools, and analytical workflows supporting research initiatives and stakeholder reporting requirements.

Risk Analyst - Financeit

(2021-07 - 2021-10)

• Developed fraud detection and risk analysis models using logistic regression and random forest algorithms.
• Generated analytical risk reports, variance analysis, and dashboard-based reporting solutions using Python and Looker.

Certificate - Advanced Data Science & Big Data Analytics - York University (2020 - 2021)

Master of Science (M.Sc.) - Statistics - Sardar Patel University (2014 - 2016)