Yoe H.

Yoe H.

Python Developer | Data Scientist

Medellín, Colombia
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About Me

Yoe is a Python Developer and Data Scientist with extensive experience working on Machine Learning/Python projects and transferring real-world problems into requirements and solution planning. With a solid background and practical knowledge in ML/AI, research, mathematics, and statistical analysis, he delivers solutions and helps businesses to achieve more.

Work history

UpStack
UpStack
Python Developer | Data Scientist
2022 - Present (2 years)
Remote
  • Creating and developing innovative software solutions for clients across a broad range of industries.

  • Participating in scrums consisting of cross-functional teams, both software and hardware.

  • Ensuring that features are being delivered efficiently and on time.

Turing
Turing
AI Trainer
2024 - Present
Remote
  • Evaluating model responses.

  • Working on prompt engineering.

Python 3 Data ScienceMachine LearningArtificial Intelligence (AI) Training Prompt Engineering
Darwin AI
Darwin AI
Senior Software Engineer
2023 - 2024 (1 year)
Remote
  • Created API for collecting visual assets from ad platforms such as Google Ads, Meta, TikTok.

  • Created API for labelling visual assets from ad platforms such as Google Ads, Meta, TikTok.

PythonAmazon S3 (AWS S3) AWS Lambda AWS CloudWatchMongoDBAPI Applications Google Ads APIGraph API Creative Problem Solving Query Optimization
Meta4Capital
Meta4Capital
Data Scientist/Analyst
2022 - 2022
Remote
  • Worked for an NFT startup company and created an algorithmic trading strategy Flask web app.

  • Developed a credit risk model for NFTs using Python and Flask among other technologies and libraries.

  • Gathered data from primary or secondary data sources and maintained databases/data systems.

Technology Institute of Antioquia
Technology Institute of Antioquia
Python Developer | Research Professor
2021 - 2022 (1 year)
Medellin, Colombia
  • Worked on some pragmatic prevention guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by Mixed Machine Learning Techniques and Artificial Mathematical Intelligence.

  • Used ML tools and Python to set up a sentiment analysis classifier of tweets with the TensorFlow module.

  • Used ML tools and Python to set up a Long-Short-Term Memory Neural Network with the TensorFlow module to forecast the Colombian coffee price.

Universidad Autónoma de Bucaramanga
Universidad Autónoma de Bucaramanga
Researcher
2015 - 2022 (7 years)
Bucaramanga, Colombia
  • Published numerous research papers including statistical mechanics in the portfolio optimization with Kusuoka’s representation and conceptual computation in artificial mathematical intelligence as a paradigm-shifting technique in physics and mathematics.

  • Reviewed methods and teaching materials and gave recommendations for improvement.

  • Worked on research, fieldwork, investigations, and writing up reports.

University of Oklahoma
University of Oklahoma
Graduate Research & Teaching Assistant
2008 - 2013 (5 years)
Oklahoma, United States of America
  • Conducted research, prepared new materials, and read scientific papers, deriving new data-driven algorithms and creating computational models.

  • Contributed to the development of research documentation for publications, presentations, and applications.

  • Worked on creating new concepts, techniques, and standards.

Portfolio

Data Scientist/Data Analyst - Meta4.Capital
Data Scientist/Data Analyst - Meta4.Capital

Meta4 Capital is a crypto-focused fund that identifies and invests in unique NFT projects with an emphasis on collectibles, art, gaming, and virtual land. Worked on two projects as a Data Scientist and Data Analyst: NFT trading methods and NFT credit risk modeling. Technologies used: Python, MongoDB, Pandas, NumPy, Sklearn, Data Analysis, NFT.

Semantic and Morpho-Syntactic Prevention’s Guidelines for COVID-19 Based on Cognitively Inspired Artificial Intelligence and Data Mining
Semantic and Morpho-Syntactic Prevention’s Guidelines for COVID-19 Based on Cognitively Inspired Artificial Intelligence and Data Mining

Case Study: Europe, North America, and South America. Used Machine Learning tools and Python to set up a sentiment analysis classifier of tweets with the TensorFlow module.

Some Pragmatic Prevention’s Guidelines Regarding SARS-CoV-2 and COVID-19 in Latin-America
Some Pragmatic Prevention’s Guidelines Regarding SARS-CoV-2 and COVID-19 in Latin-America

Inspired by Mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia. Used Machine Learning tools and Python to set up a sentiment analysis classifier of tweets with the TensorFlow module.

Colombian Coffee Price Forecast via LSTM Neural Networks
Colombian Coffee Price Forecast via LSTM Neural Networks

Used Machine Learning tools and Python to set up a Long-Short-Term Memory Neural Network with the TensorFlow module to forecast the Colombian coffee price.

API for Visual Assets Collection
API for Visual Assets Collection

Contributed to the creation and maintenance of APIs to collect visual assets from ad platforms such as Google Ads, Meta, TikTok.

API for Labelling Visual Assets
API for Labelling Visual Assets

Contributed to the creation and maintenance of APIs to label visual assets from ad platforms such as Google Ads, Meta, TikTok.

Education

Education
MA Mathematics
University of Oklahoma
2008 - 2012 (4 years)
Education
PhD Mathematics
University of Oklahoma
2008 - 2013 (5 years)
Education
MSc Mathematics
Universidad Nacional de Colombia
2005 - 2007 (2 years)
Education
Bachelor’s Degree, Mathematics
Universidad Nacional de Colombia
1996 - 2004 (8 years)