ansh = {
"name" : "Ansh Kumar",
"location": "New Delhi, India 🇮🇳",
"edu" : "B.Tech ECE @ GGSIPU (2022–2026)",
"roles" : ["AI/ML Engineer", "Data Scientist", "GenAI Builder"],
"currently_into" : ["Agentic AI", "RAG Systems", "LLM Fine-tuning"],
"certs" : ["AWS Cloud Practitioner ☁️",
"Power BI Associate 📊",
"GCP GenAI 🤖"],
"status" : "🟢 Open to Work",
}
Ingests mixed-format docs (PDFs, images, tables) and answers queries with citation-backed precision using FAISS vector retrieval + semantic search. ↑ 35% response relevance via optimized embeddings & data augmentation. Deployed on Render + Streamlit.
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Automated ML pipeline: preprocessing → feature engineering → model selection → hyperparameter tuning → evaluation. All in one click. ↓ 60% manual effort. Top-2 accuracy on 8+ benchmark datasets.
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Transcribes audio via OpenAI Whisper, extracts structured summaries, decisions, and action items using fine-tuned NLP models with NER + abstractive summarization. ↓ 70% documentation time. Real-time audio upload + instant AI reports.
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EDA on 1,400+ employee records identified salary, role & tenure as key attrition drivers — responsible for 85%+ of turnover. ↓ 60% manual reporting. DAX-driven KPIs + dynamic slicers for self-service analytics.
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Clustered 500K+ transactions into 5 actionable segments enabling precision marketing campaigns. ↑ 25% campaign ROI vs prior approaches. Silhouette score improved by 18% via feature engineering.
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RFM scoring revealed top 20% of customers drove 65% of revenue. Re-engagement campaigns for lapsed segments. 22% churned users recovered in the first campaign cycle.
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| Certification | Issuer | Year |
|---|---|---|
| ☁️ AWS Certified Cloud Practitioner | Amazon Web Services | 2024 |
| 📊 Power BI Data Analyst Associate | Microsoft | 2025 |
| 🤖 Generative AI Fundamentals | Google Cloud Platform | 2024 |






