Alvaro Leonardo Garcia Arroyo
Machine Learning Engineer🤖🧠 and 🥷Data Scientist
Passionate about creating data and machine learning models to accompany important decisions
Hi, my name is
About me
I’m an outstanding professional qualified to implement different solutions with Artificial Intelligence 🤖🧠. I have the Tensorflow Developer Certificate and other relevant certifications that qualify me as a Machine Learning Engineer. I have +3 years of experience in Data Science and Machine Learning roles (Finance, Macroeconomic studies, Marketing, Business Intelligence). Currently I’m part of LLYC’s Deep Learning Team (World Top 42 PR Consulting Firms) and I’m open to new opportunities to expand my knowledge. Also I like to teach and do some research in AI and Economics through the RIEF and Peruvian University of Applied Sciences.
Here are a few technologies I've been working with recently:
- Python
- Tensorflow
- R
- Git/Github/Control-Version
- DAX
- SQL
- Power BI
- Brandwatch
- Power Query
- Power Pivot
- Excel
- Econometrics
Experience
Technologies used: Python, R, Power BI, Power Query, DAX, SCRUM are used
Member of the Deep Learning Team, in charge of different data consultant projects of Public Relations, applying Natural Language Processing Models (NLP) with Brandwatch, Netai and Gephi. Some of the brands worked with were 3M, Tigo, Tigomoney and Forética.
Member of the Deep Learning Team, in charge of different data consultant projects of Public Relations, applying Natural Language Processing Models (NLP) with Brandwatch, Netai and Gephi. Some of the brands worked with were 3M, Tigo, Tigomoney and Forética.
Technologies used: Python, Tensorflow.
Temporary contract awarded after winning a scholarship from Google India and Turkey to participate in training in advanced and current Deep Learning architectures. The following architectures were reviewed in mathematical and applied detail : Neural Networks, Convolutional Neural Networks, RecurrentNeural Networks, Long Short Term Memory (LSTM), Bidirectional LSTM, Transformers, among others
Temporary contract awarded after winning a scholarship from Google India and Turkey to participate in training in advanced and current Deep Learning architectures. The following architectures were reviewed in mathematical and applied detail : Neural Networks, Convolutional Neural Networks, RecurrentNeural Networks, Long Short Term Memory (LSTM), Bidirectional LSTM, Transformers, among others
Technologies used: Power BI, Power Query, DAX, SCRUM, Miro and Bizagi are used
Business Intelligence that provides support to "Minera Las Bambas". As part of my main activities, I have developed dashboards for the efficiency, volume and asset management superintendencies within the entity. Likewise, I have led report automation projects, migrating from traditional PDF's or Power Point's to more interactive reports.
Business Intelligence that provides support to "Minera Las Bambas". As part of my main activities, I have developed dashboards for the efficiency, volume and asset management superintendencies within the entity. Likewise, I have led report automation projects, migrating from traditional PDF's or Power Point's to more interactive reports.
Technologies used: Excel and Stata were used
I provide support to Professor Juan Tenorio (PhDc in Economics at U. Michigan) teaching the practical classes of the Econometrics II course, you can view the recordings and material used here. Simple Linear Regression, Regression with Instrumental Variables, Logit and Probit Regression, and Regression with Fixed and Random Effects were the reviewed topics.
I provide support to Professor Juan Tenorio (PhDc in Economics at U. Michigan) teaching the practical classes of the Econometrics II course, you can view the recordings and material used here. Simple Linear Regression, Regression with Instrumental Variables, Logit and Probit Regression, and Regression with Fixed and Random Effects were the reviewed topics.
Technologies used: R, Python, Excel, Power Query, DAX and Power BI are used
I bring support to professor Renato Lazo (PhDc in Finance at Ottawa University) in the Asset Pricing Research Initiative at RIEF. As part of my main activities I create a new Dataset about Mutual Funds in Peru and I develope a Interactive Dashboard with it. Also I participate as Co-Author in new Paper about the channels of prediction of Mutual Fund Flow's for Peru
I bring support to professor Renato Lazo (PhDc in Finance at Ottawa University) in the Asset Pricing Research Initiative at RIEF. As part of my main activities I create a new Dataset about Mutual Funds in Peru and I develope a Interactive Dashboard with it. Also I participate as Co-Author in new Paper about the channels of prediction of Mutual Fund Flow's for Peru
Technologies used: R, Power BI, Power Query and DAX were used
I elaborated and automated the publication of Dashboards related to the monitoring of COVID-19 at the international level, local and international Macro-financial Variables and Risk Matrices. I supported in the calculation of liquidity risks for Mutual Funds.
I elaborated and automated the publication of Dashboards related to the monitoring of COVID-19 at the international level, local and international Macro-financial Variables and Risk Matrices. I supported in the calculation of liquidity risks for Mutual Funds.
Technologies used: Power Point, Power BI, Power Query and Excel were used
I provided support in the preparation of sectoral reports, as well as the development and automation in the publication of monitoring reports on macroeconomic and financial variables.
I provided support in the preparation of sectoral reports, as well as the development and automation in the publication of monitoring reports on macroeconomic and financial variables.
Senior Data Analyst
-
Intelligence and Data Analysis Department - EsSalud
January 2020 - February 2021
Technologies used: R, Python, Excel, Power BI, Power Query, DAX and Power Point were used
I supported the development and automation of Dashboards of great impact on health and business management issues. I participated in the elaboration of the Essalud heat map that was awarded for good practices in social security at a national and international level.
I supported the development and automation of Dashboards of great impact on health and business management issues. I participated in the elaboration of the Essalud heat map that was awarded for good practices in social security at a national and international level.
Education
2016-2021
Bachelors in Economics
Peruvian University of Applied Sciences
GPA:
4.0
Economics and International Business, Upper fifth, Graduated in third place.
Projects
Power BI
DAX
Power Query
Mutual Fund Analysis Project
A highly innovative analysis with the creation of new database about Mutual Funds in Peru.
Python
R
Power BI
DAX
Bloomberg
MacroFinancial Analysis Project for SMV
A innovative way to centralize important information about international and national markets, covid-19 and Economics indicators provided by BCRP, INEI, etc.
Python
R
Power BI
DAX
Bloomberg
International Covid-19 Analysis Project for SMV
A innovative way to Visualize data about Covid-19 with information provided by OurWorld in Data.
Lectures Websites 🧠
Eviews
Python
Econometrics (VAR, ARMA, GARCH)
Statistics
Excel
Macroeconometrics Course
Course taught in the semester 2023-I for the students of the Peruvian University of Applied Sciences.
Python
Tensorflow
Deep Learning
Deep Learning Course
Course taught for the Summer School in Economics and Finance 2023
Stata
Econometrics
Statistics
Excel
Ecomometric II Course
Course taught in the semester 2022-I for the students of the National University of Engineering.
Achievements
Get in Touch
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