Summary
Parvesh Dhawan is an Associate Staff Engineer and data scientist with 8 years of experience applying ML, NLP, time-series, and analytics to business problems across maritime, retail, and healthcare domains. He has delivered end-to-end solutions—from vessel risk models and inventory forecasting to fine-tuned BERT pipelines and LLM-driven clinical note summarization—demonstrating a strong track record of reducing manual effort and accelerating decision-making. Comfortable in Python and R, he pairs statistical rigor with practical engineering (MongoDB, SQL, Tableau) to ship production-ready models and dashboards. At Precognitas he built pipelines that cut clinical data processing time by 70% and automated thousands of quality and cost insights, highlighting a focus on measurable impact. Beyond work, he contributes projects on GitHub and mentors via training and freelance engagements, showing continuous learning and community involvement. Based in Gurugram, he brings a blend of research curiosity and delivery-oriented execution that scales analytical solutions for real-world operations.
8 years of coding experience
4 years of employment as a software developer
High School Science, High School Science at DAV Centenary Public School , Jind (hry.)
Bachelor of Technology (B.Tech.) Computer Science Engineering, Bachelor of Technology (B.Tech.) Computer Science Engineering at PDM College of Engineering, Bahadurgarh, Haryana
Hindi, English, Punjabi