MACHINE LEARNING
Machine learning algorithms use computational methods to "learn" and derive information directly from data without assuming a predetermined equation as a model. They can improve their performance by increasing the number of samples available for learning.
Machine learning algorithms, which develop classification rules using classified information training, are known as "supervised learning" algorithms. "Undelivered learning" algorithms seek to identify useful structures / information within previously unclassified data.
Machine learning models are used in many applications, such as computational finance (counterparty solvency assessment, algorithmic trading), computational biology (tumor detection, pharmacological identification and DNA sequencing), energy production (prediction pricing and load curve), automatic processing of natural language, image and sound recognition, marketing or auto-suggestion. "Machine learning" is often used in large data applications (Big Data). These data are characterized by many predictors and are too complex for a simple parametric model.
I would like to introduce myself! I'm Alessandro
I was born in south Milan in 1986 and after having graduated in Pavia, during my P.h.D. I fell in love with the computational approach to economics and finance.
The data revolution of these years is likely to have a further and profound effect on economics and business. Increasingly, data analyst make use of newly available large-scale administrative private sector data giving rise to new opportunities and challenges.
The data offer researchers a look inside the “black box” of firms and markets by providing meaningful statistics on economic behavior such as search and information gathering, communication, decision-making, and microlevel transactions.
Alessandro Spelta
RESEARCHER & DATA ANALYST
Phone:
+39-3475602788
Email:
alessandro.spelta01@universitadipavia.it
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Address:
via Roma 31
San Giuliano Milanese, MI 20098
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Date of Birth:
April14th, 1986
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EDUCATION
LASER LOMBARDY ADVANCE SCHOOL OF ECONOMIC RESEARCH
The thesis approaches the determinants of 2008 financial crisis using econophysics and statistical models to show how the crisis spread throughout the entire world. Taking a complex approach to economics the thesis investigates how economic systems with multiple elements adapt or react to the pattern that the same elements together create
2010-2014
P.h.D.
2008-2010
Master's Degree
UNIVERSITYOF PAVIA
Graduated with 110/110 with a thesis about learning expectation in macroeconomics. A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity. The thesis focus on how people learn by making forecasts using observed data, updating their forecast rules over time in response to errors
UNIVERSITY OF PAVIA
Graduated with 102/110 with a thesis about new labor contracts and new forms of work. Since the rapid changes in society and the economy, demands for greater flexibility the thesis aimed to raise the focus on flexicurity, that is, how to balance labor market demands and the demands of social security
2005-2008
Bachelor's Degree
EXPERIENCE
PROGRAMMING
SKILLS
Microsoft ExCel - Advanced
Microsoft Word - Advanced
Power Point - Proficient
Latex Editors - Proficient
Italian - Mother Tongue
English - Advanced
EXPERTISE
UNIVERSITY OF PAVIA AND BANK FOR INTERNATIONAL SETTLEMENTS
Development of a novel distress measure for banking systems, by adjusting CDS spreads of various banking systems with exposure to risk from other banking systems through a multi-layer network
2016-2017
Researcher in Statistics
2016-2017
Big Data Analyst
OMNICOM MEDIA GROUP
Development of Marketing Analytic Models that supports marketers to create data-driven marketing plans, specifically geared towards achieving business goals. Businesses can gain actionable customer insights and unearth new opportunities that are hidden in their data
CATHOLIC UNIVERSITY AND EUROPEAN COMMISSION
Projects on Early Warning Crisis for financial crisis: MACFINROBODS, Integrated Macro Financial Modeling for Robust Policy Design and RAstaNEWS, Macro-Risk Assessment and Stabilization Policies with New Early Warning Signals
2014-2017
Researcher in Economics