Professional Summary
Data Scientist with 5+ years of experience in building scalable machine learning systems for enterprise applications. Specialises in NLP, forecasting, and productionising models that deliver measurable business value. Collaborates cross-functionally to translate complex datasets into actionable insights and improve product decision-making.
Skills
- Machine Learning
- Python
- Deep Learning
- Forecasting
- SQL
- Pytorch
- Tensorflow
- Communication
- R
- NLP
- Scikit-Learn
- Azure
- MLOps
- APIs
Experience
Data Scientist — v4c.ai
- Architected NLP pipelines that reduced customer support ticket resolution time by 30% via automated intent classification.
- Implemented forecasting models that improved inventory turn rates by 15% and aligned supply chain planning with demand signals.
- Designed APIs serving 200k+ requests/day for real-time recommendation engines consumed by partner applications.
- Improved experiment velocity by building a self-service A/B testing framework that reduced analysis cycle time by 50%.
- Mentor junior analysts on best practices for model validation, feature engineering, and communicating findings to stakeholders.
Data Analyst — Lingaro
- Developed a customer segmentation model that drove a 20% lift in targeted campaign response rates across 3 business units.
- Automated quarterly business reviews by building interactive dashboards that tracked KPIs and narrative insights.
- Collaborated with product teams to A/B test onboarding flows, providing rapid feedback that informed UX decisions.
- Wrote and maintained production-grade SQL transformations that powered finance and marketing analytics pipelines.
- Presented findings to C-suite audiences, translating complex analytics into strategic recommendations.
Education
B.S. Computer Science
University of British Columbia
Certifications
- AWS Certified Machine Learning - Specialty
- Microsoft Certified: Azure Data Scientist Associate
Languages
English, Hindi