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AI Engineer with less than a year in Data Analysis and Machine Learning.
Priti Yadav is an aspiring AI Engineer with 8 months of combined experience as a Data Analyst (Freelancer) at Deccan Al Experts and a Data Scientist Intern at Spinovix Software Pvt. Ltd. She possesses strong skills in Machine Learning, Deep Learning, NLP, and Generative AI, with practical experience in data preprocessing, model development, and contributing to AI model training. Her project work includes developing a multi-agent RAG chatbot and a telecom customer churn prediction system.
Priyadarshini College Of Engineering
B. Tech · Computer Science
August 1, 2022 – June 30, 2026
Baba Nanak Sindhi Hindi Junior College
Higher Secondary Certificate (12th)
June 1, 2020 – May 31, 2022
Shreyas High School, Wardaman Nagar, Nagpur
Secondary School Certificate (10th)
June 1, 2009 – May 31, 2020
Deccan Al Experts
Data Analyst (Freelancer)
June 1, 2026 – Present
India
Spinovix Software Pvt. Ltd.
Data Scientist Intern
December 1, 2025 – June 1, 2026
Nagpur, Maharashtra, India
Multi-Agent Retrieval Augmented Generation BOT for Attributed Question Answering
June 27, 2026 – Present
Developed a multi-agent chatbot system for intelligent question answering using RAG. Implemented multiple agents for tasks like information retrieval, response generation, and task handling. Integrated features like email sending and calendar scheduling through a conversational interface.
Telecom Customer Churn Prediction using Machine Learning
June 27, 2026 – Present
Performed data preprocessing and exploratory data analysis (EDA) on telecom customer data. Built and trained machine learning models to predict customer churn. Evaluated model performance using accuracy and other evaluation metrics.
Cultural Fit Analysis
The candidate's academic achievements and participation in extracurricular activities like hackathons and NCC suggest a proactive and driven individual. The project diversity, including a multi-agent RAG system and churn prediction, shows an interest in various AI applications. The freelance and intern roles align with an AI/Data Science career path, indicating a good foundational cultural fit for an AI-focused team, though the experience level is junior.
Soft Skills & Operational Fit
The candidate's participation in a hackathon and NCC training suggests teamwork, problem-solving under pressure, and discipline. The academic projects indicate an ability to work independently and apply theoretical knowledge. However, the limited professional experience (internship and freelance) means operational fit in a structured corporate environment for a senior role is yet to be fully demonstrated.