.png){kind=logo}
Yash Amre
Intern Data Scientist specializing in machine learning and NLP
Connect with Yash
Yash already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Analytics-focused early-career candidate with internship experience owning reporting and system performance analysis projects end to end. They combine SQL data preparation, Python automation, and dashboard delivery with measurable impact, including roughly 50% less manual reporting and about 20% better forecast accuracy.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- SQL-based data cleaning and transformation across PostgreSQL and CSV sources
- Data integrity validation using row-count reconciliation, aggregate checks, and spot checks
- Performance optimization with indexing and efficient queries
- Reusable Python analytics workflows with Pandas, NumPy, and Scikit-learn
- Modular, maintainable automation using scripts, notebooks, and parameterized functions
- End-to-end analytics ownership from metric definition to dashboard delivery
- Stakeholder alignment through regular check-ins and iterative feedback
- Retention metric operationalization with standardized definitions and dashboard adoption
- Reduced manual reporting time by about 50%
- Improved forecast accuracy by about 20%
- Built and deployed a production RAG-based internal AI assistant for querying internal documents
- End-to-end ownership: ingestion, embeddings, vector search, prompt design, and API development
- Hallucination reduction via strict context grounding, similarity thresholds, constrained prompts, and low-confidence fallbacks
- Latency reduction via chunking optimization, context limiting, caching, and async requests
- Production reliability practices: step-level error handling, retries/timeouts, structured logging, metrics/alerts, and CI/CD
- Evaluation-driven iteration using offline test sets, unit tests, and production monitoring (accuracy, retrieval relevance, latency, failure rate, cost)
- Improved system performance with two-tier model strategy and retrieval re-ranking
- Effective collaboration with non-technical stakeholders by aligning on success metrics and iterating via demos/feedback
Like what you see? We'll introduce you to Yash directly.
Experience
Education
Skills
Languages
Publications
1 publication
Browse Similar
Interested in Yash?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Yash
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent