* Collaborated with Risk Management team to implement Portfolio Optimization strategies for bond and equity portfolios in Python using sophisticated risk management tools, contributing to enhanced portfolio construction research. Achieved significant 9.5% improvement in returns during back tests.* Conducted market research to enhance firm's macroeconomic outlook, providing insights to management on market trends.* Developed an automated financial dashboard with wide range of essential financial data and synthesized multiple metrics in Excel and Python, providing portfolio managers with easy access to essential market data and comprehensive macro-outlook, significantly improving efficiency and decision-making.

* Conducted market analysis to establish competitive pricing and collaborated with marketing team on innovative strategies to boost brand awareness and market penetration.* Directed comprehensive competitor analysis across the UK and US markets, identifying key opportunities and strategic insights. Leveraged these findings to drive market expansion and successfully achieve quarterly targets.

* Led full-cycle acquisitions of 30+ partners, optimizing partnership activities and campaigns for maximum results, leading to a 200% increase in social media followers and a 566% increase in sales.

* Cultivated and managed a network of UHNWIs for the launch of "StashAway Reserve", exceeding initial AUM targets by 18% and driving substantial long-term revenue growth.* Generated personalized portfolio reviews for UHNWIs and accredited investors, performing in-depth analysis of their individual portfolios to extract valuable insights.* Performed market research to evaluate the performance of StashAway portfolios against major indices and closely monitored central bank policies to assess potential impacts on StashAway portfolios.* Implemented an efficient tracking process to consolidate sales data from multiple channels, reducing time for this task by 15%.

* Coordinated in a team of 2 to established effective tool condition monitoring to predict tool wear in Computer Numeric Control operations for an automated factory production line using machine learning (via ANN) and regression algorithms on MALAB.