CV

PROFESSIONAL EXPERIENCE

Pirelli

Business Analyst. Analyse the Australian market in areas such as consumer spending trends and economic behaviour to prepare monthly/quarterly promotional price programs and ad hoc tactical sales action. Identifying revenue and profit improvement opportunities and providing insights. Collaborate with key stakeholders across the business. Analysis of data for both ad-hoc analysis & reporting purposes. Provide market insights through competitor reporting that supports decision making regarding price, mix and advertising. Analysing and reporting on campaign performance. Pricing for new and existing products in line with the Pirelli pricing strategy.

Data IQ

Business Intelligence consultant (Data IQ Qlik Master Reseller). Responsible for development, analysis and counselling services to clients, detecting improvement opportunities in pricing, advising best practices to achieve their targets, collecting data so support executive strategy and controlling marketing objectives. Identifying revenue and profit improvement opportunities and providing insights. Managing the analytics of the website. Maintaining marketing databases on Salesforce. Monitored and regularly updated key performance metrics and generated weekly performance reports to provide meaningful insights on marketing and campaign effectiveness

Digital House

Python instructor in the Introduction to Data Science Course.

Business Intelligence consultant

(www.sanmartin.gov.ar). Designing and maintaining an engaging and user-friendly web portal, capable of connecting different companies in a networked environment. Measuring KPI's and collecting data from different providers to create new value chains.

Survey of Industrial Companies

(www.sanmartin.gov.ar). Conduct market research nalysing info from 250 companies. Weighting the sample with statistical software. Reporting trends in market, production, costs, prices, exports, imports, profitability, investment, sales and employment.

Consultant

Consultant (www.techinsights.com). Extraction of competitor's prices for market research, detecting long and short run trends and predicting them for the next term using statistical software. Conduct competitive analysis to identify strengths and weaknesses of competitors.

Aprobando

Consultancy in general, economic tutoring and data science courses.

Business Intelligence

I was responsible for the development, support, and maintenance of the institute's QlikView applications within the Development and Innovation Management department. This area handled the validation of payments to providers, processing approximately $300 million per month.

I designed reports and dashboards to support decision-making using business intelligence (BI) tools. Data was sourced from various systems, mainly Oracle and SAP. I led the development of three major applications from inception:

Project 1: Scoring System for Providers

Developed a system to evaluate provider behavior and detect potential data deviations or fraud. This project involved classification algorithms and clustering techniques to analyze a high volume of data — around 5 million affiliates served by 10,000 providers monthly. Each provider had a detailed historical record across multiple modules and time periods. The model significantly enhanced fraud detection and generated substantial cost savings.

Project 2: Expense Projection Model

Built a model using regression analysis and moving averages to forecast future expenses and reduce budget deviations. The system dynamically selected the most accurate regression model and visualized results through interactive graphs. This enabled reliable projections for multi-year budgeting.

Project 3: Georeferencing Dashboard

Created visual maps to identify high-density regions, locate nearby service branches, and reduce travel time for affiliates. Integrated the Google Maps API to enrich incomplete data and applied Euclidean distance calculations for optimizing provider-affiliate pairings. This significantly improved healthcare accessibility.

Project 4: Planning & Forecast Dashboard

Developed a comprehensive dashboard that transformed information analysis and accelerated strategic decision-making. This tool became central to executive board discussions and long-term planning.

Key Benefits

Eliminated manual operations and significantly reduced processing time.
Enhanced analytical capacity and improved quality of insights.
Simplified presentation of complex business data with high interpretive value.
Achieved a level of detail and responsiveness unattainable through manual efforts.

Professional Vision

I am a results-oriented professional with a focus on delivering high-impact solutions. People often ask why, as an economist, I’ve devoted my career to data. My response: data is a company’s strategic asset. Proper use of data ensures control, and control ensures governance. Without control, nothing can be governed.

From strategy to execution, data plays a central role in planning, measurement, evaluation, and continuous improvement. As change accelerates, traditional education has failed to keep pace with market needs. I aim to be part of the solution — contributing to a revolution even greater than the industrial one — by helping build a future shaped by capable, adaptable professionals.