Projects
A collection of my professional work showcasing expertise in data science, machine learning, and software engineering.
Business Intelligence & Data
Project Description:
Design and implementation of Business Intelligence solutions to transform raw data into actionable insights. Projects include interactive dashboards, real-time analytics, and data pipelines for driving data-driven business decisions.
Technologies used:
Quantitative Finance
Project Description:
Creation of quantitative finance models to predict derivatives pricing strategy, assess risk, and optimize portfolios. The focus is on applying advanced statistical methods and machine learning algorithms to financial data for strategic decision-making.
Technologies used:
MLOps Pipelines
Project Description:
Design and deployment of robust ETL workflows and machine learning pipelines to support scalable, reproducible, and automated ML systems. Emphasis on data quality, versioning, and seamless integration from raw data to model deployment.
Technologies used:
Get in Touch
You can also reach me directly at:
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