Transforming complex data into intelligent solutions
I am Prince Pandit, an AI/ML Engineer and Analyst focused on building intelligent, scalable solutions that solve complex business challenges. With a foundation in Python, SQL, and Statistics, I specialize in transforming raw data into actionable insights through skills.
My experience includes developing high-impact projects related to Machine Learning and Data Analysis. I have a proven track record of delivering end-to-end AI solutions with measurable results.
I am a continuous learner dedicated to staying at the forefront of emerging technologies. Currently, I am open to full-time opportunities where I can apply my expertise in Data Science and AI Engineering to drive innovation.
Achieved high precision in telecom churn prediction model, providing actionable business insights
Built healthcare chatbot with intent recognition using advanced NLP techniques
Hands-on experience at Infosys Springboard, Enjay IT Solutions, Upskill Campus, and YBI Foundation
IIT Kharagpur
Cisco Networking Academy
Infosys Springboard
An intelligent system designed for enterprises to automatically categorize and prioritize business emails using advanced NLP techniques and machine learning models.
Developed an NLP-based sentiment classifier trained on 1.6 million tweets. Implemented a full text-processing pipeline including stemming and TF-IDF vectorization, achieving 77.6% accuracy with a Logistic Regression model.
Built an end-to-end Deep Learning application using Artificial Neural Networks (ANN) to predict bank customer churn. Implemented data preprocessing pipelines and a real-time web interface with Streamlit, providing actionable insights into customer retention.
Developed a machine learning model to categorize individuals into low, medium, or high-risk insurance categories using Python. Applied Pandas and Scikit-learn for robust data analysis and classification models, achieving ~87% accuracy.
A voice-enabled chatbot for healthcare information, built with Python and NLP. Interprets user queries and provides relevant responses, functioning as a conversational assistant with 80%+ intent recognition accuracy.
View on GitHub →Conducted in-depth analysis of telecom churn to identify customer exit factors. Built a classification model to predict churn with ~89% precision, providing actionable business insights.
View on GitHub →Currently working on an AI Email Classifier for Enterprises, developing intelligent systems to automatically categorize and prioritize business emails. Implementing NLP techniques and machine learning models to improve email management efficiency and enhance enterprise communication workflows.
Contributed to AI-powered solutions, developing and implementing models to solve real-world business challenges in a dynamic IT environment. Worked on cutting-edge AI technologies and collaborated with cross-functional teams.
Analyzed large datasets to derive meaningful insights, utilizing various tools and techniques to support data-driven decision-making processes. Enhanced data processing efficiency and created comprehensive analytical reports.
Participated in a Startup Accelerator Program, gaining insights into entrepreneurial ecosystems and business development strategies. Developed ML models and contributed to innovative startup projects.
Open to full-time opportunities | Ready to relocate
Prince is an AI/ML Enthusiast. Feel free to get in touch with me.