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I’m Priyadarshini Yadav, a data and AI focused professional who enjoys turning messy real-world data into reliable models and useful insights. I have worked across the full cycle—data cleaning, EDA, feature engineering, model training, evaluation, and delivering results with clear visualizations—using Python and the data science ecosystem. I also build AI applications that help people get answers faster, including an agent-based RAG chatbot system and predictive ML projects like telecom customer churn. From my internships to freelance work, I’m consistently driven by accuracy, structured workflows, and improving AI outcomes through careful data preparation and validation.…I’m Priyadarshini Yadav, a data and AI focused professional who enjoys turning messy real-world data into reliable models and useful insights. I have worked across the full cycle—data cleaning, EDA, feature engineering, model training, evaluation, and delivering results with clear visualizations—using Python and the data science ecosystem. I also build AI applications that help people get answers faster, including an agent-based RAG chatbot system and predictive ML projects like telecom customer churn. From my internships to freelance work, I’m consistently driven by accuracy, structured workflows, and improving AI outcomes through careful data preparation and validation.

Priti Yadav

Data Scientist, Data Analyst, Web Developer, +2

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I’m Priyadarshini Yadav, a data and AI focused professional who enjoys turning messy real-world data into reliable models and useful insights. I have worked across the full cycle—data cleaning, EDA, feature engineering, model training, evaluation, and delivering results with clear visualizations—using Python and the data science ecosystem. I also build AI applications that help people get answers faster, including an agent-based RAG chatbot system and predictive ML projects like telecom customer churn. From my internships to freelance work, I’m consistently driven by accuracy, structured workflows, and improving AI outcomes through careful data preparation and validation.…I’m Priyadarshini Yadav, a data and AI focused professional who enjoys turning messy real-world data into reliable models and useful insights. I have worked across the full cycle—data cleaning, EDA, feature engineering, model training, evaluation, and delivering results with clear visualizations—using Python and the data science ecosystem. I also build AI applications that help people get answers faster, including an agent-based RAG chatbot system and predictive ML projects like telecom customer churn. From my internships to freelance work, I’m consistently driven by accuracy, structured workflows, and improving AI outcomes through careful data preparation and validation.

Available to hire

I’m Priyadarshini Yadav, a data and AI focused professional who enjoys turning messy real-world data into reliable models and useful insights. I have worked across the full cycle—data cleaning, EDA, feature engineering, model training, evaluation, and delivering results with clear visualizations—using Python and the data science ecosystem.

I also build AI applications that help people get answers faster, including an agent-based RAG chatbot system and predictive ML projects like telecom customer churn. From my internships to freelance work, I’m consistently driven by accuracy, structured workflows, and improving AI outcomes through careful data preparation and validation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Work Experience

Data Analyst (Freelancer) at Deccan AI Experts

June 1, 2026 - Present

Contributed to AI model training through data collection and validation. Curated and evaluated datasets to improve AI response quality, ensuring the training data was accurate and well-structured.

Data Scientist Intern at Spinovix Software Pvt. Ltd.

December 1, 2025 - June 1, 2026

Performed data preprocessing, exploratory data analysis (EDA), and feature engineering on real-world datasets. Developed and evaluated machine learning models for predictive analytics and collaborated on AI and NLP-based solutions as part of internship projects.