Experience

Jan 2023 - Present Head of Data and AI at Learning Nodes

– Developed a data-driven funnel framework to optimise UX in web navigation and product
usage. Integrated every on-screen item into a cohesive, measurable funnel strategy with
clear ROI indicators to facilitate streamlined data analysis, predictive modelling, and
A/B testing.
– Utilised agile methodologies for efficient data science model deployments, emphasising
continuous integration/continuous delivery (CI/CD) and feature rollouts via a Kanban
board.
– Implemented a collaborative data strategy focusing on row granularity, enabling precise
data budgeting and comprehensive performance metrics for inter-sector data flow.
– Managed a diverse technical stack including Python, SQL, Airflow, Power BI, Vector
databases, AWS, Chainlit, FastAPI, and Flask to support scalable data science
endeavours.

Jun 2022 - Jan 2023 Computer Vision Enginner at ICMEC AU

– Built and directed a high-level team of doctorate data scientists and software engineers
to apply data science methodologies to distinct datasets from both the clear and dark
web.
– Identified behavioural patterns resulting in digital signatures useful for typologies
and integrated them into a system to recommend classifications based on similarities.
– Initiated the incorporation of Quality Assurance in reinforcement learning, enabling
time-series dashboarding for feature importance determination, forecasting, and A/B
testing on momentum features.
– Managed the implementation of an open-source CRM, defining its business processes, agile
structure, and data governance.

Mar 2021 - Jun 2022 Head of Data at Asplundh Tree Services

– Reengineered the vegetation management quoting process by integrating advanced data
science methodologies, focusing on understanding utility parameters such as
subcontractor involvement, material usage, fleet logistics, and vegetation patterns.
– Leveraged diverse analytic techniques, including machine learning, linear programming,
and simulations such as Monte Carlo, to address various modeling needs in the data
pipeline.
– Led a cross-functional team comprising a business analyst, data engineer, and platform
engineer, while operating as the primary data scientist.
– Enhanced the in-house ERP tool by implementing quality assurance improvements, providing
actionable insights on tool utilisation, identifying areas of deficiencies, and adapting
the tool for optimal performance in Hawaii and New Zealand.

Feb 2019 - Oct 2019 Senior Data Scientist at Iron Cloud Finance

– Utilised a range of statistical methods, including both supervised and unsupervised
machine learning techniques, to extract and produce measurable value within the loan
business process.
– Provided consistent analytics and data support to various stakeholders using tools such
as Python, metadata, and Power BI.
– Collaborated with the growth department to segment customers based on their payment
behaviors.
– Supported the engagement team by supplying analytics that enabled them to evaluate the
effectiveness of their strategies.

Feb 2018 - Feb 2019 Data Scientist at Tensorcharts

– Conceived and executed a method for A/B testing strategies within a neural network model
tailored for algorithmic trading, with a focus on identifying non-correlated features to
enhance order flow trading signals.
– Collaborated within an Agile framework alongside an international team comprising
mathematicians, traders, and software engineers.
– Developed real-time dashboards to evaluate signal performance and seamlessly incorporate
fresh signals into a deep-learning ensemble.

Jan 2016 - Feb 2018 Fraud Investigator/ Data Mining Coordinator at Edenor SA

– Led a 50-member interdisciplinary team tasked with identifying fraud within the
electrical distribution network of Argentina’s largest supplier.
– Leveraged Machine Learning techniques in conjunction with Operations Research on data
procured from power meters to detect anomalies and potential fraudulent activities.
– Created and maintained dashboards that illustrated detailed electrical consumption
patterns across the grid.
– Designed KPI dashboards and initiated training sessions to install a continuous
improvement approach within the organisation, centred around consumption analytics.
– Supervised both in-house and third-party interdisciplinary resources across various
levels, ensuring consistent benchmarking of continuous improvement control systems,
which included overseeing backlogs, OKRs, dashboards, documentation, and training
initiatives.

Jul 2014 - Dec 2015 Purchasing Role at Exiros

– Managed the auction process, including the orchestration of Frame Agreements for the
Petroleum, Metallurgy, and Construction sectors.
– Worked on enhancing the competitiveness of the market to improve the quality of
suppliers.
– Applied decision theory to analyse market information and formulated KPIs to monitor
supplier performance.
– Strategically planned demand to reinforce negotiation leverage with suppliers.
Achievements:
– Successfully closed over 2000 auctions, with Frame Agreements amounting to over 4
million USD.
– Contributed to significant improvements in supplier quality across key industries.
– Optimised negotiation strategies, leveraging planned demand to secure favourable terms
and conditions for the company.

Dec 2012 - Jun 2014 PMO Analyst at Tenaris

– Overhauled the budget control process from initiation to conclusion, embedding
continuous improvement measures throughout the Project lifecycle.
– Implemented comprehensive Quality Assurance for key project phases, including Business
Cases, Objectives and Scopes, Quoting, and Project Closures.
– Served as the primary point of contact for over 100 Project Leaders and 10 Directors
from diverse departments worldwide, tailoring communication strategies to accommodate
individual cultural or hierarchical needs.
– Initiated and managed a Closing Campaign focused on wrapping up numerous longstanding
projects from various departments to enhance transparency.
– Founded and managed a blog dedicated to the Control Process, devising proactive
solutions targeting potential bottlenecks in the process and methods to preempt their
occurrence.
– Recognised operational needs within the Project Office and took the initiative to create
a comprehensive documentation manual.