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Revision as of 10:40, 26 February 2021
Adelo Vieira, Data Scientist 47-A Phibsborough Rd, Dublin
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BSc. (Hons) in Information Technology. I'm also a Geophysical Engineer and MSc in Petroleum Geoscience with strong mathematical, problem-solving, and analytical skills. I'm currently particularly interested in Data Analytics and Software Development. Proficient in multiple programming languages, including Python, Java, JavaScript, SQL, and R. I have a huge interest in Machine Learning and Natural Language Processing. I've been recently working in areas such as Text classification and Sentiment Analysis. I have solid knowledge in several ML algorithms (Naive Bayes, Decision Trees, K-Nearest Neighbour) and in Time Series Analysis. I have experience working with Python (Pandas, NLPTK, Scikit-learn, SciPy, Plotly, TextBlob, Vader Sentiment), R, and RapidMiner. Solid academic experience in Object-oriented programming and Web Development. I have developed several projects using Java, React, Node.js (Express.js), and Dash. I also have advanced experience with the most popular flavors of Linux (including Shell Scripting) and excellent academic experience in Relational database (SQL, MySQL, PostgreSQL) and cloud computing (AWS and Google Cloud). |
Contents
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Present ↑ 2022 |
IDG Direct, Ireland Real Time Data Analyst I'm responsible for analyzing and monitoring call center data. This includes call volumes, performance indicators, queue time, agents availability, inactivity levels, average handle times, etc.
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Present ↑ 2020 |
Python Developer - Freelance
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2022 ↑ 2017 |
IDG Direct, Ireland Senior Business Development Executive I am responsible for creating new sales prospects and carrying out b2b outgoing calls to prospective clients. Additionally, I prioritize staying well-informed about each customer's current and future business practices and processes, allowing me to build and maintain strong relationships with them. Building and maintaining a professional relationship with IT Managers is a key part of my role. This enables me to identify their needs and next investments. The gathered information is required by our clients (Largest Tech Companies) and used in the next step of the sales process.
Communication and Sale Skills
Target and KPI
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2014 |
WikiVox, France Web Programmer I was responsible for the installation and administration of a Wiki Web Application based on the MediaWiki engine.
WikiVox is a nonprofit organization whose goal is to create a website (a wiki) for debates of political, economic and environmental topics. They want to create a discussion method capable to generate, at some point in the debate, an article with precise suggestions, in order to contribute to the solution to the problem. When I was working at WikiVox, the project was just starting. The philosophy of the project was already mature, but the implementation of the Wiki was just in its first phase. It was a very nice experience. I liked very much especially the philosophy of the project. And... I think that working in a small organization was positive at this point in my career Because I had responsibilities that I am sure I would not have had in a big company; that's why I think that I learned a lot from them. I had responsibilities related to (1) the administration of a Linux Web Server and (2) to the design of the website.
Wiki - Organize information into a cohesive, searchable and maintainable system.
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2012 ↑ 2011 |
Simón Bolívar University - Funindes USB, Venezuela Research geophysicist Click here to see some examples of my work in Seismic modelling. As a Research Geophysicist, I was responsible for performing a set of Signal analysis/Data processing tasks, and ensuring the correct integration and implementation of geophysical applications into a computer cluster platform.
Task automation using Shell scripting: Here I could mention the generation of images to create seismic waves propagation videos or the automatic generation of pdf reports using latex that contained details about the executed process: time vs. the features of the data generated (the amount of data generated).
I have skills in Matlab, Scilab, Python and Shell scripting that I got during my participation in an R&D Unit at Simón Bolívar University (The Parallel and Distributed Systems Group - GryDs). MATLAB (matrix laboratory) is a language and numerical computing environment. MATLAB allows data analysis and data visualization, matrix manipulations, and performing numerical computations. Matlab contains a huge library of functions that facilitate the resolution of many mathematical and engineering problems. For example, I used it for Signal Analysis, specifically for Seismic data analysis. it for Ex. 1 and Ex. 2:
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2011 ↑ 2010 |
CGGVeritas, Venezuela Seismic data processing analyst I was responsible for performing Seismic Data processing/Analysis and Borehole Data Analysis for oil and gas exploration.
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2010 ↑ 2008 |
Simón Bolívar University, Venezuela Academic Assistant - Geophysics Department As an Academic Assistant, I was in charge of collaborating with the lecture by teaching some modules of the Geophysical Engineering program at Simón Bolívar University. I was usually in charge of a group of between 20 and 30 students during theoretical and practical activities.
I have three years of experience as an academic assistant in the courses of Seismic Processing, Seismic Reservoir Characterization, and Seismic Methods. During my experience as an academic assistant, I have solidified my knowledge of the theoretical basis of seismic processing. In particular, all the technical concepts that are required for this position, such as Seismic velocity analysis, Multiples, Surface statistics correction, Noise attenuation, and Imaging. During my experience as a teacher assistant, I was assigned three times to teach the Seismic data processing course. My work was to give theoretical and practical lessons. The theoretical part was focused on signal theory: Concepts of discrete signal analysis, sampling, aliasing, and discrete Fourier transform, and all the theoretical aspects of each stage of a conventional seismic processing sequence. And in the practical part, the students had to process a 2D seismic data set. We used the Seismic Unix software. It's a free software developed for the Colorado School of Mines. I was the assistant of the teacher in charge. But I was responsible for a large part of the course since I have participated three times in this course. |
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2020 |
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2020 |
College of Computing Technology (CCT), Ireland Bachelor of Science (BSc) (Honours) in Information Technology
In my final Bachelor (Honours) in IT I worked in Sentiment Analysis using Python. I specifically developed a Web Dashboard for analyzing Amazon's Laptop sales data, mainly to perform a Sentiment Analysis on Amazon customer reviews.
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2014 |
Claude Bernard Lyon 1 University, France Master – Complementary computer studies
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2011 |
Simón Bolívar University, Venezuela MSc in Earth sciences
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2007 |
Simón Bolívar University, Venezuela Geophysical Engineer
Simón Bolívar University and background in Mathematics/Physics I'm an engineer from the most important scientific Venezuelan university, which is Simón Bolívar University; and really, I need to highlight the academic level and the quality of Simón Bolivar University. If you check now, Simón Bolívar University is still in a good place in the LatAm University Rankings; but the university has been widely affected by the difficult political situation in the country. I don't know if you have heard about the critical political and economical situation in Venezuela. But the fact is that in my time when I started my career, Simón Bolívar university was always in the top 10 of the best LatAm Universities with scientific and technological orientation. I have a very good background in formal and pure sciences, like mathematic and physic. I followed 7 pure maths and 5 pure physics courses; without counting all the applied geophysical courses that I followed with a high content of mathematics, physics, or chemistry. If you review the course content of an IT program you will find at most 2 mathematic courses. I really think that for an IT professional it is very important to have a good background in mathematic. For example, to be able to understand some computational concepts (functional programming for example) you need to have a good mathematical background. |
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Lista de skills
Strong mathematical, Problem-solving, and Analytical skills,
Data Analytics,
Object-oriented programming,
Python, Java, JavaScript, SQL, and R, Shell Scripting,
Web Development: HTML, CSS, React, Node.js - Express.js, Python-Django, Dash,
ML algorithms: Naive Bayes, Decision Trees, K-Nearest Neighbour, Clustering,
Python for Data analysis and Machile Learning: Numpy, Pandas, Scikit-learn, SciPy,
Text Analytics / Natural Language Processing (NLP) / Sentiment Analysis using Python and R: NLPTK, TextBlob,
Data Visualization with Python (Plotly, Dash, Matplotlib, Seaborn) and Power BI, SiSense
RapidMiner,
Relational databases: SQL, MySQL, PostgreSQL,
Linux,
Cloud computing: AWS and Google Cloud,
GitHub,
Jupyter
Other qualifications | ||
As a Research Geophysicist, I was responsible for performing a set of Signal analysis/Data processing tasks, and ensuring the correct integration and implementation of geophysical applications into a computer cluster platform.
More recently, I have acquired experience in Python web development using Django and Dash. In this regard, I have gained hands-on experience building REST APIs with Django and I'm currently actively engaged in expanding my skills by learning FastAPI. These are a couple of Web Apps I have developed using Python: http://dashboard.sinfronteras.ws/sentiment http://www.vglens.sinfronteras.ws/ You can see a more extensive list of my projects at: http://wiki.sinfronteras.ws/view/CV#Portfolio
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Data Analysis (Data Interpretation, Data modelling, performing analysis based on data), it is NOT something new for me at all, it's something that I have been working on for several years as a Geophysicist.
Reservoir properties are important characteristics of an oil or gas reservoir that determine the amount of hydrocarbon resources that can be extracted from it. Some common reservoir properties that can be predicted using ML models include:
An well-log is a record of measurements of physical properties of the geologic formations (the rocks in the subsurface) penetrated by a borehole. In other words, a well-log is a record of measurements of physical properties of the rocks as a function of depth. Some of the physical properties that are measured are: Resistivity, Natural radioactivity of the rocks-formations (Gamma Ray Log). Because radioactive elements tend to be concentrated in shales, the Gamma-ray log normally reflects the shale content of the formation. Sound wave velocity: measurement of the time required for a sound wave to travel a constant distance. The principle is that velocity of the rock decrease when the porosity increase.
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As an Academic Assistant, I was in charge of collaborating with the lecture by teaching some modules of the Geophysical Engineering program at Simón Bolívar University. I was usually in charge of a group of between 20 and 30 students during theoretical and practical activities.
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https://github.com/adeloaleman
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See course content at https://www.udemy.com/course/django-python-advanced/
See course content at https://www.udemy.com/course/fastapi-the-complete-course/
See course content at https://www.udemy.com/course/build-a-modern-api-with-fastapi-and-python/
See course content at https://www.udemy.com/course/react-redux/
Content overview
See the complete course content at https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
See course content at https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/
See course content at https://www.udemy.com/course/exercises-object-oriented-programming-in-python-oop-course/
Content overview
Content overview
Content overview
See the complete course content at https://www.udemy.com/course/linux-academy-red-hat-certified-systems-administrator-prep/ |
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- Adelo Vieira and Crelia Padrón.
Analysis of pull up effects through computational seismic data modeling and depth migration, Colombian plains. ↓Download
Estimation and modelling of reservoirs properties through seismic attributes and geostatistics in gas fields, southern Spain. SOVG, XIV Venezuelan Geophysics Congress I was co-author of a paper published in the XIV Venezuelan Geophysics Congress, in 2008. In this paper is performed a study of Seismic reservoir characterization (it's when you use seismic data for the estimation of rock properties). We used geostatistics to integrate seismic data and well logs. Also, because in this area we found clear amplitude anomalies, we analyze the origin of the anomalies in one of the reservoirs in this area. There are many methods trying to find a relationship between seismic attributes and well logs. The most basic method would be to plot a seismic attribute against a rock property and make a linear regression to find a relationship between the seismic attribute and the rock property. The geostatistical methods are much more complex than linear regression but they are more reliable. The attributes we used were: the instantaneous amplitude, amplitude RMS, instantaneous frequency and phase. |
Estimación y modelado de propiedades de yacimiento a través atributos sísmicos y geoestadística en campos de gas del sur de España. SOVG, XIV Congreso venezolano de Geofísica. También, debido a que en esta zona la data sísmica muestra claras anomalías de amplitud, se analiza el origen de la anomalía de amplitud generada por uno de los yacimientos tipo en el área de estudio. Métodos como la regresión lineal proveen información acerca de la relación de los atributos y los datos de pozo. Los métodos geoestadísticos son mucho más complejos que los métodos de regresión lineal, pero producen resultados más confiable. Atributos utilizados: amplitud RMS, amplitud instantánea; atributos de frecuencia, frecuencia instantánea y fase; así como superficies de impedancia acústica. Con datos provenientes de estos 5 pozos se realizaron entonces los gráficos cruzados correspondientes para tratar de obtener alguna relación lineal, y los mejores resultados obtenidos se muestran en la Tabla 1 Posteriormente, se realizó un análisis de una de las anomalías de amplitud observadas. Con dicho propósito generamos un gráfico de la magnitud de la reflexión Rpp vs. θ (ángulo de incidencia) para un yacimiento gasífero que genera fuertes anomalías de amplitud negativa Esto se hizo a través de las ecuaciones de Zoeppritz tomando los datos de ρ y Vp de los registros de pozo, y utilizando el modelo de Castagna et al. (1985) para estimar Vs Por otra parte, causa suspicacia el hecho de que el yacimiento considerado presenta un espesor bastante pequeño (7 m). Esto nos obliga a pensar en la posibilidad de que las amplitudes anómalas observadas respondan a un efecto de entonación.
Estudio del efecto de entonación Para modelar este efecto se diseñó una cuña que simula el comportamiento de una capa que se afina progresivamente. Los valores de densidad y velocidad asignados a este modelo fueron los correspondientes al yacimiento de interés La ondícula empleada para simular la respuesta sísmica de esta cuña fue una Ricker fase cero con una frecuencia dominante de 60 Hz.; valor obtenido a partir del espectro de amplitudes de un grupo de trazas que muestran la anomalía producida por el reservorio considerado. A través de estos parámetros se obtuvo la respuesta sísmica que se muestra en la Figura 7 (a). El modelo mostrado en la Figura 7 (a) exhibe el efecto de máxima entonación a un espesor de aproximadamente 7 m; esto implica que nuestro yacimiento no es lo suficientemente espeso como para poder diferenciar la reflexión del tope y la base del mismo, produciéndose una superposición de ambas reflexiones. Este modelo comprueba la hipótesis de un incremento de las amplitudes sin relación alguna con la presencia del gas. |
Il n'y a pas de traduction au français |
- Alejandro Gutiérrez, Evert Durán, Adelo Vieira and Crelia Padrón.
Estimation and modelling of reservoirs properties through seismic attributes and geo-statistics in gas fields, southern Spain. SOVG, XIV Venezuelan Geophysics Congress, 2008. ↓Download
Analysis of pull up effects through computational seismic data modeling and depth migration, Colombian plains In geophysics is called \pu{} to an uplift recognized in the seismic data that is not caused by the shape of geological structures, but by a local high-velocity region or lateral velocity variations. Because there is a considerable lateral variation and a velocity inversion in the Colombian plain basin, this effect has been hypothetically associated with convex upward folded events observed in the seismic data acquired in the area. In this work, we perform seismic simulations from a flat layers geological model which bring together two representative features of the basin of Colombian eastern plains: normal faulting and velocity inversion; features that produce a singular lateral velocity variation. With this model, the paper discusses three simulation methods: normal ray tracing, prestack ray tracing, and finite differences. This allows visualizing the propagation of the rays through the geological model, generate post a prestack synthetic seismic data, and its corresponding processing sequence. The results show and explain the presence of \pu{} in areas near the fault on synthetic events corresponding to the footwall block. These elevations produced by \pu{} effects coincide relatively with the location of the uplifts observed in the real data; results suggest the existence of such anomaly in the seismic data acquired in the Colombian eastern plains. The data was provided by the Pacific Rubiales company. |
Il n'y a pas de traduction au français |
No existe traducción en español |
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English |
Fluent |
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French |
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Portuguese |
Intermediate |
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A: Basic user. B: Independent user. C: Proficient user. |
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- Member of the water polo team at Simón Bolívar University: Attendance at 5 National University Games.
- Swimming instructor at U.E.U.S.B school.
- Open-source software.
- Travel, Volleyball, Open-Water Swimming.