Rajeev
New Delhi, Delhi, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, Django, Git, Jira, Jupyter Notebooks, LLMs/ChatGPT, MySQL, NumPy, pandas, Python, Python3, scikit-learn, TensorFlow
Previously worked at: US-based Companies
Assessment Score: 75
- Educational Background
Holds a Bachelor of Engineering from Netaji Subhas Institute of Technology (University of Delhi), graduating in June 2020, with a solid foundation in data science, machine learning, and deep learning. - Professional Experience
With over 2 years of experience as a Data Scientist, including a 6-month internship, has worked on optimizing machine learning and deep learning models for enhanced accuracy in classification and regression tasks, along with significant expertise in natural language processing (NLP) and text representation techniques. - Key Projects and Achievements
At Genome Consulting Pvt Ltd, led a project analyzing 4 million startup records, developed a Random Forest model for classifying tech vs. non-tech companies with 95% accuracy, and implemented BERT for multi-class text classification. Improved model performance and reduced manual effort by 70%. - Experience in Healthcare and Insurance Projects
At Artivatic Data Labs, engineered data preprocessing pipelines and optimized models for the DRG Classification System, achieving 95% accuracy. Developed a disease recommendation and health scoring system for insurance underwriting, and deployed solutions using FastAPI for real-time production use. - Specialization in Generative AI and NLP
Skilled in working with Generative AI (Gen AI) models and large language models (BERT, GPT). Developed a chatbot for medical and insurance Q&A using Retrieval-Augmented Generation (RAG), vector databases, and GPT models, as well as a model for generating inferences from medical reports. - Technical Proficiency and Tools
Proficient in Python, machine learning, deep learning, NLP, and recommender systems. Experienced with tools like Pandas, Scikit-learn, TensorFlow, PyTorch, and FastAPI, and familiar with AWS services like EC2, RDS, and S3 for cloud infrastructure management.