Atharva Chougule

Nullclass Edtech Private Limited

• Processed and analyzed 1.8M+ records using Python and SQL, resolving data quality issues that improved reporting accuracy and pipeline throughput.
• Automated KPI and financial reporting pipelines, increasing operational efficiency by 30% and eliminating hours of manual effort per reporting cycle.
• Designed interactive Power BI dashboards to surface business-critical metrics, enabling faster, evidence-backed stakeholder decisions with rigorous data validation throughout.

AI BI Street Private Limited

• Built end-to-end ML pipelines using Python, scikit-learn, and PyTorch on multi-source datasets, improving prediction accuracy and model interpretability for business decision-making.
• Developed LLM-based retrieval systems leveraging RAG and prompt engineering, reducing process turnaround time through accurate, context-aware information retrieval.
• Engineered features, preprocessed datasets, and ran robustness validation under varying data conditions ensuring reliable, production-ready outputs across diverse scenarios.