Professional Summary
Senior Data Scientist with 8 years of experience in machine learning and NLP solutions for consumer technology. Architected recommendation systems and personalised search pipelines serving millions of users monthly. Passionate about productionising models with robust observability and CI/CD practices.
Skills
- Machine Learning
- NLP
- Python
- Azure
- Forecasting
- SQL
- Communication
- Marketing
- Spark
- Ci/Cd
- Pytorch
- Power Bi
- Model Monitoring
- Feature Engineering
Experience
Senior Data Scientist — Apple Inc.
- Architected personalisation engine serving 200M+ monthly users, improving recommendation relevance by 35%.
- Improved model observability stack, reducing drift alert noise by 70% and accelerating retraining cycles.
- Partnered with engineering to migrate core prediction APIs from Python Flask to Go, decreasing latency by 50%.
- Led cross-functional workshops on experimentation best practices, increasing test coverage by 40%.
- Mentored two junior data scientists through productionisation of their first customer-facing models.
Data Analyst — D Square Consulting Services Pvt Ltd
- Developed automated monthly performance dashboards for retail clients, reducing reporting cycle time by 5 days.
- Created customer segmentation models that informed targeted campaigns, lifting client revenue by 15% on average.
- Streamlined ETL pipelines using Apache Airflow, decreasing data latency from 48 hours to 6 hours.
- Conducted workshops on Tableau best practices, upskilling client marketing teams to self-serve analytics.
- Collaborated with data engineering to establish governance around customer data across multiple sources.
Senior Data Scientist — Capital One
- Designed fraud detection models that reduced false positives by 25% while maintaining 98% detection rates.
- Migrated legacy scoring pipelines to AWS SageMaker, cutting deployment cycle time from weeks to hours.
- Presented findings to executive audiences, translating complex model behaviours into clear business insights.
- Improved test coverage of ML codebases by instituting strict pre-release validation checklists across teams.
- Coached associates on Pythonic data manipulation practices, improving overall team coding standards.
Education
B.S. Software Engineering
University of Texas at Austin
Certifications
- AWS Certified Machine Learning - Specialty
- Microsoft Certified: Azure Data Scientist Associate