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An interactive research companion for Context-Shift Interaction Screening, exploring a sparse, closed-form approach to feature interactions that conventional Naive Bayes would otherwise miss. |
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A multi-agent system that predicts team compatibility and hiring fit from GitHub behavior, psychometric profiling, and AI-generated analysis. |
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A visual machine learning pipeline builder that lets users create end-to-end ML workflows through drag-and-drop and automatically generate production-ready Python code. |
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Adaptive learning analytics platform that goes beyond quiz scores by modeling mastery, confidence, understanding, and goal-readiness using IRT, BKT, and SAKT. |
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ML / AI: scikit-learn TensorFlow PyTorch XGBoost LightGBM HuggingFace LangChain Langraph
Data: Pandas NumPy Spark SQL SARIMAX Bayesian Models
Infra: FastAPI Celery RabbitMQ Redis GCP Docker
LLM: Claude API RAG Pipelines Prompt Engineering Agentic AI Multi Agent Orchestraton
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class DataScientist:
def __init__(self):
self.name = "Atharv Khare"
self.role = "Data Science Student"
self.focus = ["Machine Learning ", "Business Analytics", "Data Engineering"]
self.location = "Bhopal, MP" |
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- Best Capstone Project Award - Business Data Management, IIT Madras
- Athropic Claude CBC - Hackathon Winner
- Oracle Certified - Agentic AI Certified Foundations Associate
- Hackerrank - SQL Advanced Certificate
- Tech Dominion - Hackathon Winner, IIT Madras
- Anukriti Winner, Paradox, IIT Madras BS
- Datacamp AI engineer for Data Science Associate Ceritfication
- Published research paper
- Organized Margazhi'25 Technical Events
~ Find a reason that wakes you tomorrow | atharvk.pages.dev | atharvkhare18@gmail.com