Professional Overview
Data Scientist with 5+ years of experience delivering full-cycle AI solutions in fast-paced startup environments. I specialize in turning complex financial and ESG data into actionable insights, having built scalable models for credit scoring, risk profiling, and sustainability metrics using tools like Python, XGBoost, and Keras.My recent work includes deploying AI solutions on GCP Vertex AI and AWS SageMaker, contributing to smarter decision-making and measurable business growth. I thrive in cross-functional teams, have led interns and junior analysts, and frequently present insights to senior leadership.I’m passionate about leveraging data science for responsible innovation—especially in the finance and ESG space—and I’m actively seeking opportunities where I can make an impact through data-driven strategy and ethical AI.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
