Gagandeep Singh is an experienced Data Scientist and Machine Learning Engineer with expertise in developing and deploying advanced AI solutions. His technical skills encompass Natural Language Processing (NLP), Deep Learning, and predictive modeling using frameworks like PyTorch and Transformers. He has hands-on experience in MLOps, containerization (Docker, Kubernetes), and building scalable applications, including chatbots and sentiment analysis tools.
Experience
Data Scientist
Zykrr - Experience Analytics and Management Platform
Developed and deployed Text Analytics for real-time comments, including custom algorithms for sentiment analysis of keywords and entities. Experimented with state-of-the-art NLP models (Bert, ERNIE, Roberta). Developed predictive models to determine KPIs impacting NPS and built machine learning classifiers for Escalation Management. Enhanced Text Analysis performance by 6X using batch processing and model quantization. Worked on Rasa Chatbot and developed a custom chatbot framework with AI probing. Managed data versioning using DVC and captured experiments with MLflow. Containerized deployed ML models using Docker and Kubernetes. Automated scraping using Selenium and developed an ORM for monitoring social media feeds.
Machine Learning Engineer (Internship)
Nanotrics Innovations Private Ltd.
Developed a Diabetes Prediction Model, increasing accuracy from 89% to 91.2% through domain knowledge application. Developed and published an Android App named Feeder to reduce food wastage, utilizing Firebase for event handling, maps, authentication, and database.
Education
GL Bajaj Institute of Technology and Management
B. Tech
Delhi Public School
Intermediate Education
Licenses & Certifications
Deep Learning
Udacity
Machine Learning Engineer with Microsoft Azure
Udacity
Secure and Private AI Scholarship Challenge
Udacity