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toulouse, france
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Se unió el abril 29, 2024
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Adonija

@adonija1

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$60 USD / hora
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toulouse, france
$60 USD / hora
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Financial Analyst | Machine Learning| Economist |

Expert in data, economics, and finance, my goal is to provide in-depth analyses to inform strategic decision-making that drives organizational growth and client success. With a focus on tangible results, I implement my analytical skills to identify trends, evaluate risks and opportunities, and formulate pragmatic recommendations. Thanks to my mastery of economic data analysis, I am able to collect and analyze information from various sources to provide a clear understanding of the current state of the economy and anticipate future developments. I also develop customized economic models to simulate scenarios and assess their potential impact on organizations. In finance, my expertise in financial analysis enables me to evaluate the financial health of companies by carefully examining their financial statements, ratios, and past performances. I am also skilled in financial forecasting, using advanced statistical techniques to estimate future financial performance, thereby assisting organizations in establishing solid objectives and budgetary plans. My analytical approach extends to investment analysis, where I assess investment opportunities considering financial data, market trends, and economic factors. Through thorough evaluation of risks and potential returns, I provide informed recommendations for strategic investment decisions. I am convinced that my passion for data, expertise in economics and finance, and ability to translate complex information into clear ideas can add real value to organizations and clients. By working together, we can make informed decisions that drive growth and lead to long-term success.

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Experiencia

Lecturer

Université Grenoble Alpes (UGA)
sept 2021 - ago 2022 (11 meses, 2 días)
— Conducted research in Finance and Data Science, Created interactive dashboards — Conducted Data Science project — Designed and delivered courses — Mentored students — Technology and Regulatory Monitoring

Teaching and Research Assistant

University Toulouse Jean Jaurès
sept 2018 - ago 2021 (2 años, 11 meses)
— Conducted innovative research in Economics and Data Science — Conducted Data Science project — Designed and delivered courses in Globalization, Economic Theories, Growth and Development — Participated in academic conferences and workshops to present research fi ndings — Provided support to professors in course preparation, grading, and student mentoring

Fellowship Ph.D. student in Economics

Institute Of Economics (Lugano ) - Laboratoire d’Économie de Dijon (Dijon)
oct 2014 - dic 2020 (6 años, 2 meses)
— Analysis, processing, and monitoring of economic and fi nancial data — Writing a doctoral thesis and scientifi c articles — Participated in academic conferences and workshops to present research fi ndings at national and international levels — Teaching Assistant in Statistics — Literature review and bibliographic monitoring

Educación

Data Science (Master - Professionnal Title)

France 2022 - 2023
(1 año)

Ph.D. in Economics

Università della Svizzera Italiana, Switzerland 2015 - 2020
(5 años)

Ph.D. in Economics

France 2014 - 2020
(6 años)

Calificaciones

Machine Learning Engineering for Production (MLOps)

DeepLearning.AI - Coursera
2023
The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently.

Machine Learning and Reinforcement Learning in Finance

New York University - Coursera
2022
The specialization is essentially in ML where all examples, deals with various problems in Finance. The specialization is meant to prepare the students to work on complex machine learning projects in finance that often require both a broad understanding of the whole field of ML, and understanding of appropriateness of different methods available in a particular sub-field of ML (for example, Unsupervised Learning) for addressing practical problems they might encounter in their work.

Data Science Professional Certificate

IBM - Coursera
2021
The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real data sets.

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