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Yash Dorshetwar
Junior Data Science and AI professional specializing in Python, machine learning, and analytics
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About
Built AI-EDU, an AI/LLM-powered learning platform created for a Technology Entrepreneurship class that predicts student engagement and generates personalized learning insights. Emphasizes strong data preprocessing/feature engineering on noisy student data, and has experience operationalizing workflows with basic Airflow/Prefect plus reliability practices (edge-case testing, metrics, logging, guardrails) and stakeholder-friendly dashboards/summaries.
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Key Strengths
- Built and deployed an AI/LLM-powered learning platform (AI-EDU) to predict student engagement and generate personalized insights
- Strong data quality handling: schema validation, cleaning inconsistencies, outlier normalization, deduplication
- Effective feature engineering from raw logs into engagement/session metrics to improve model stability and accuracy
- Structured approach to agent/workflow reliability: modular design, real + edge-case testing, metric tracking (accuracy/success rate/latency), iteration with logging and guardrails
- Able to translate complex model outputs into dashboards and natural-language summaries for non-technical stakeholders
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