Data Analyst

Built a multi-agent AI platform to analyze financial instruments including stocks, crypto, and commodities, focusing on real-time model outputs and trade signals. Developed and validated custom Python-based forecasting models using historical price data and economic indicators. Automated financial news summarization and extraction pipelines using NLP for investor insights. Created predictive models for donation campaigns and churn forecasting during Cerebra UK marketing hackathon.

Analyzed donor behavior using clustering (K-Means) and logistic regression, leading to improved segmentation and marketing outcomes. Produced automated dashboards and insights presentations with actionable business recommendations. Engaged with multi-functional teammates, aligning insights with marketing strategies.

Focus in Strategic Management, Financial Analysis, and Data-Driven Decision-Making. Academic projects involved live business cases and applied analytics.

Graduated with Distinction. Final project on intelligent automation using machine learning.