Senior Data Scientist
Current• Led the development of statistical tools using ML techniques and data-driven strategies to boost business performance.• Ran AI techniques, including NLP, deep learning, and transfer learning for image classification, enhancing operational efficiencies.• Leveraged advanced tools to transform data into key business insights, trends, and patterns.• Assisted in analyzing data sources, optimizing data pipelines, and process automation.• Conducted exploratory data analysis with machine learning, data modeling, and dashboards.• Devised experiments and tests to analyze key metrics and KPIs for product improvements.• Developed and applied Bayesian models with random forests, gradient boosting, and ensemble methods to optimize the prediction and performance tracking.• Scoped out project for new revenue & growth streams, executed market basket analysis, predictive analytics, and clustering to meet project goals.• Collaborated with leadership to define real-world data problems, facilitating in resolving big data challenges.• Leveraged statistical tools for data preprocessing, cleaning, manipulation, and analysis, enhancing data integrity.• Managed Cross Functional Teams to align deliverables and build data models, scalable data pipelines, and dashboards.• Collaborated with SMEs and leveraged MDM and Azure AI/ML Studio to ensure data consistency and quality.
