Experience / 2020—present

Work shaped by
different perspectives.

Across data science, research, investment analysis, consulting, and product building, the thread is the same: make complex information useful.

01

Experience

Co-Founder

Precision Portal

Building a real-time scheduling product for underground mining operations.

  • Strategic Workflow Transformation: Partnered with domain experts to engineer a real-time scheduling dashboard, transforming disjointed field operations into a streamlined, minute-by-minute shift coordinator.
  • Intuitive Product Design: Architected a centralized command center that distils fragmented field data into a unified, actionable interface, empowering shift supervisors to make rapid, informed decisions.
  • Intelligent Scheduling Engine: Co-developed a dynamic constraint-based algorithm that orchestrates complex development cycles, intelligently routing heavy machinery for drilling, blasting, and bogging with precision.
  • Responsive Full-Stack Execution: Built a robust, interactive TypeScript matrix that enables on-the-fly schedule adjustments, instantly recalculating operational timelines to adapt to unpredictable delays and complex tasks such as cable bolting.

Data Scientist

Beforepay Group

Worked across risk strategy, customer analytics, and transaction-text categorisation for a personal lending product.

  • Risk Strategy: Developed strategies for the personal-loan pipeline, balancing data governance, risk, and compliance requirements with profitability while translating transactional data into assessment logic for future predictive-modelling infrastructure.
  • Data Analytics: Queried large and complex datasets using SQL and Databricks to identify user segments driving core business growth.
  • NPL Strategy: Designed an NLP strategy to extract keywords from user transaction text for automated financial categorisation.

Visiting Researcher

Macquarie University

Prepared and analysed the Longitudinal Survey of Australian Youth (LSAY) dataset for follow-on research and predictive modelling.

  • Data Analytics (EDA): Analysed and cleaned the LSAY dataset, comprising 15,078 observations and 4,677 variables; used R to address missing data and errors and remove ineligible observations.
  • Data Preparation: Prepared the dataset by mapping and merging variables with related values and cross-referencing them with another dataset to enable future linking.
  • Predictive Modelling: Developed and evaluated standard econometric regression and machine-learning models, documenting the methodology and findings for a clear research handoff.

Investment Intern

Oltre Impact

Researched impact-investment markets and assessed early-stage companies in sustainability-focused sectors.

  • Market Research: Performed trend analysis and technical and regulatory research on impact markets such as sustainable plastics and waste management, contributing insights to investment strategy.
  • Startup Valuation: Analysed startup valuations and industry metrics using PitchBook and Crunchbase to assess strategic fit and business-model feasibility.

Associate Management Consultant

MV Consulting S.r.l.

Supported financial-system transformation, cloud migration, and data management across enterprise projects.

  • Cloud Migration: Led the migration of financial data to Oracle PBCS cloud infrastructure for a multinational client.
  • Data Management: Conducted data-management and transformation work for an ERP project across 100+ entities, managing complex accounting datasets and ensuring data quality and reporting accuracy under tight deadlines.
  • Team Collaboration: Contributed to team delivery and complex problem-solving with limited initial guidance.

Junior Regional Business Manager

Haier Europe

Supported regional business analysis, product-range management, commercialisation, and coordination with global markets.

  • Business Analysis: Supported the Regional Business Manager with business analysis and product-range management.
  • Commercialisation: Contributed to commercialisation processes and global-market relationships.
02

Education

MSc in Applied Data Science for Banking and Finance

Oct 2023 — Sep 2025

Università Cattolica del Sacro Cuore

Thesis: Modeling systemic risk with ΔCoVaR: a comparison of linear and neural network approaches.

Selected project: Benchmark-neutral portfolio optimisation: implemented a custom factor model in Python with targeted factor tilts.

Coursework: Data Analysis, IT Coding, Finance and Banking, Business Analytics, Game Theory, AI and Machine Learning, Data Analytics for Investment, Quantitative Finance, and Time Series Analysis and Forecasting.

Certificate in Finance · Awarded with Distinction

Mar 2022 — Dec 2022

UCLA Extension

Coursework: Managerial Finance and Advanced Applications of Managerial Finance, Fundamentals of Investing, Financial Statement Analysis, Principles of Accounting A and B, and Introduction to Data Science.

Bachelor of Science

Oct 2015 — Jul 2020

Politecnico di Milano

Final dissertation: Analysed Google’s PageRank algorithm using Markov-chain theory and network analysis to examine the mathematical foundations of webpage importance.

Coursework: Calculus I, II and III, Probability, Statistical Inference I and II, and Numerical Analysis (MATLAB).