.png){kind=logo}
VamshiKrishna Challa
Mid-level Data Scientist specializing in industrial IoT, predictive analytics, and generative AI
Connect with VamshiKrishna
VamshiKrishna 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
ML/NLP engineer with Industrial IoT experience who built an end-to-end anomaly detection and GenAI explanation system: AWS (S3, PySpark, EC2/Lambda) pipelines feeding dashboards, plus transformer-embedding vector search to connect anomalies to noisy maintenance notes and past events. Demonstrated measurable impact (15% lift in defect detection; ~35% reduction in manual review; 35% fewer preprocessing errors) and strong productionization practices (orchestration, monitoring, rollback, data-quality controls).
Experience
Education
Key Strengths
- Built Industrial IoT anomaly detection combining LSTM/GRU with PCA and Isolation Forest on multivariate sensor time series
- Designed AWS-based ETL/ML pipelines (S3 + PySpark) and surfaced results in Tableau/Power BI dashboards
- Linked anomalies to similar past events and maintenance notes using transformer embeddings + vector search; reduced manual review time ~35%
- Improved data quality via entity resolution and reconciliation (Python/Pandas/SQL); achieved 35% drop in preprocessing errors and improved model accuracy
- Production-grade workflow practices: modular pipelines, orchestration (Airflow/AWS workflows), structured logging, retries/alerts, quarantine tables
- Strong model validation and stakeholder alignment: monitored precision/recall and drift; moved to production after demonstrating 15% lift at agreed false-positive rate with monitoring/rollback plan
Discover more candidates like VamshiKrishna
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent