About Angel

DSaaS Data Science as a Service
Descriptive | Predictive | Prescriptive Analytics

Data Engineer | O&G Data Professional | Geomodeler

- Fully Oriented to Deliver Business Value -

Introduction

PROFESSIONAL FREELANCER: Data Engineer | Data Scientist | Data Analyst | Oil and Gas (O&G) Data Professional | Geomodeler

COMPANY & ACADEMIC PROJECTS: Descriptive, Predictive, and Prescriptive Analytics; Artificial Intelligence (AI) Powered Tools and Machine Learning (ML); Advanced Geomodeling Techniques for O&G Reservoir Characterization.

25+ years of Hands-On EXPERIENCE in Industry & Academia:

• CLOUD COMPUTING: DATA Storage, Organization, Connection, and Preparation and Refining; Data Analytics and ML, Automated Pipelines, and Auto ML; O&G and healthcare applications of 2D/3D Visualization, etc.
• O&G Industry: Geomodelling/Geostatistics and Reservoir Characterization; 3D Reservoir (Static) Models, Volumen Estimations, Uncertainty Management, Rock Physics, etc. 
• R&D: Traffic Simulation and Statistical Mechanics, Electrical Properties of Porous Media, etc.

Objectives

DSaaS Data Science as a Service – COMPANY & ACADEMIC PROJECTS: Help the Real State, O&G, Healthcare, Retail, Higher Education, Security, and other Industries to Adopt and Equip with the Right AI/ML Powered Tools and Automated Solutions; to Unlock Critical Use Cases and Get THE MOST VALUE OUT of DATA, in a SHORT TIME and at SCALE.

Create Automated Workflows to extract ACTIONABLE INSIGHT from Diverse, Heterogeneous, and Complex Datasets. How? Science FIRST; Joint Research and Powered ML/AI CLOUD BASED tools; and CROSS-DOMAIN-ANALYSIS: SIMILAR PROBLEMS IDENTICAL SOLUTIONS. From Integration to CROSS-DOMAIN ANALYSIS.

Portfolio: Latest Case Studies

• Descriptive and Predictive Analytics: building a series of easy-to-digest interactive visualizations and dashboards, including results of a Binary Classification Probability Analysis, to support an advanced PRODUCTION ALLOCATION training course for an O&G company in the UK.
• Services and Tools: Google Drive, BigQuery, Trifacta CLOUD DATAPREP, Google Looker Studio (Data Studio), Google SLIDES, etc.
• Descriptive and Prescriptive Analytics: building a RECOMMENDATION ENGINE, which can be updated in quasi-realtime, to assist the owner of a YouTube channel in Mexico in the selection of uploading videos and relevant content that help to increase the number of subscribers.
• Resources and Tools: Google Drive, YouTube Analytics (YouTube Connector), Google Looker Studio (Data Studio), etc.
• Build a DATA REPOSITORY in Google Cloud Storage (GCS) and a series of Customizable/Scalable CLOUD-BASED ANALYTICS PIPELINES to Distill knowledge through easy-to-digest visualizations and dashboards that can be used immediately by an O&G company in Argentina to PRESCRIBE actions and OPTIMIZE budgets, among other practical applications.
• Services and Tools: Google CLOUD PLATFORM, Google CLOUD STORAGE, BigQuery, Trifacta CLOUD DATAPREP, R Language, Google Looker Studio (Data Studio), TABLEAU DESKTOP and TABLEAU ONLINE, etc.
• Descriptive and Prescriptive Analytics: building a low-cost RECOMMENDATION ENGINE to help a training-fitness startup in Venezuela enhance trainees' performance. The engine is fed with text information from the trainees (surveys results).
• Resources and Tools: Google Drive, Google FORMS, Google SHEETS, Trifacta Wrangler, Google Looker Studio (Data Studio), etc.

Software Literacy

GOOGLE CLOUD PLATFORM | GOOGLE WORKSPACE:

• Cloud Storage (GCS)
• BigQuery
• TRIFACTA Cloud Dataprep
• Google AI Platform
• Google Cloud Functions
• Google LOOKER STUDIO (DATA STUDIO)
• FORMS/DOCS/SHEETS/SLIDES/BLOGGER, and other collaboration tools.

DATAROBOT – Automated Machine Learning for Predictive Modeling:

• VISUAL AI
• LOCATION AI
• PAXATA Data Prep

TABLEAU ONLINE – Version 2021.3 | SaaS Analytics For Everyone. © Tableau Software Inc.

TABLEAU DESKTOP – 64bit-2022-1-0 Public Edition. © November 2020 Tableau Software Inc.

PETREL 2018.1 – Version 2018 x64. June 2018. Structural Framework-Structural Modeling, Property Modeling, Volumetrics, Uncertainty Analysis, Upscaling, etc.

RSTUDIO CLOUD (Cloud Custom) – © 2020 RStudio, PBC | RStudio – Version 1.4 © 2009-2020 RStudio, Inc.

R LANGUAGE – R version 4.1.2 | Microsoft-R Machine Learning Server 9.3.0 | Microsoft-R Open 3.5.3.

KNIME Analytics Platform 4.2.1 x64 – March 05, 2020, Windows 10. KNIME AG, Zurich, Switzerland.

IBM Quantum Experience – IBM Cloud © 2020.

© UiPath Studio – 2020.4.3 | Community Edition.

SNOWFLAKE Cloud Data Platform. © 2020 Snowflake Inc.

Top Interests

• DATA (numeric, categorical, text, images, geographic, date&time, etc.): Storage/Organize/Connect and Prepare and Refine; readying any Dataset, no matter its Complexity and Variety, to perform Advanced Analytics, ML, etc.
• CLOUD-BASED Fully Automated Analytics Solutions to tackle real-world issues
• AI/ML Cloud-Based tools
• AUGMENTED Reality & VIRTUAL Reality, its applications in design, industrial and academic training, etc.
• TEXT-To-SPEECH (TTS) and its applications.
• AUTO ML Cloud-Based tools
• R/PYTHON Languages
• TEXT MINING/NLP, Topic Analysis, Sentiment Analysis, etc.
• GEOMODELING Advanced Techniques and reservoir characterization of O&G fields
• 2D/3D INTERACTIVE Visualizations and applications
• QUANTUM COMPUTING and its applications

MATH & PHYSICS: Set Theory, Hilbert Spaces, Quantum Mechanics and Quantum Statistical Mechanics, Relativity Theory, Probability Theory, etc.

Education

BSc in Physics (Fields of Study: Mathematical Physics | Statistical Mechanics)

Languages

• English: Fluent
• French: Basic
• Spanish: Native

Contact:

Email: angel.aponte@gmail.com

Phone: +56 923884496

For additional information, please visit LINKEDIN PROFILE