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Harrinson Arrubla

Applied Statistician Scientist
[email protected]

  1. Ms. Applied Statistics

    and Data Science

    University of Texas Rio Grande Valley, 2023

  2. Bs. Mathematics

    National University of Colombia, 2019

About me

Welcome to this blog website. It is under construction, and new blogs, UX features, and styling will be added continuously. My resume, work experience, and academic experience are presented in detail. However, I am not solely focused on academics; in this blog, I strive to present the other side of the coin.

Machine Learning, Statistics and AI

DB

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  1. AI Trainer Currently

    Outlier AI

    2024

    • As an AI Trainer, I develop prompts, evaluate, and refine the AI’s solutions to mathematical problems. I contribute to the development of advanced AI capabilities in the field of mathematics and logic.

  2. Data Scientist Currently

    Salaz Design

    2024

    • Same responsibilities as the Business Intelligence Analyst Intern position at Salaz Design.

  3. Business Intelligence Analyst - Intern

    Salaz Design

    2023 - 2024

    • Utilize SQL, Python, and data visualization tools to extract, analyze, and interpret complex data. Develop insights crucial for data-driven decision-making. Contribute to the development of interactive dashboards, reports, and visualizations using SQL, Python, and data visualization tools.
    • Apply statistical learning techniques and algorithms to uncover trends and patterns in manufacturing, supply chain, and shipment data.
    • Contribute to budgeting and planning processes to align data strategies with overall business objectives. Utilize Python, Power BI, and Microsoft Office for data mining, analysis, reporting, and presentation.

  4. Research Assistant (RA)

    University of Texas Rio Grande Valley, The National Science Foundation (NSF) Research Experience for Undergraduate Students (REU) Program on Applied Mathematics and Computational and Data Science

    2022 - 2022

    • Provided comprehensive training to undergraduate students in Python, R, and MATLAB for the purpose of modeling fractional differential equations and effectively visualizing the outcomes of their mathematical simulations.
    • Introduced them to Monte Carlo simulations and deep learning methods for tackling fractional differential equations systems using heavy-tailed distributions and mathematical simulations.
    • Assisted undergraduate students in refining their writing style, definitions, and outcome presentations for paper-style reports submitted to the NSF and the University of Texas Rio Grande Valley.

  5. Lecturer

    Caldas University

    2020 - 2020

    • Delivered comprehensive instruction in Calculus II, ensuring students grasped advanced mathematical concepts. Employed diverse teaching methods and practical examples to enhance understanding and problem-solving skill
    • Provided foundational knowledge in mathematics through the Fundamentals of Mathematics course. Equipped students with essential mathematical skills and logical reasoning to excel in software engineering.Algorithm:
    • Imparted statistical expertise to students through engaging in Statistics courses. Covered topics such as data analysis, probability theory, and statistical modeling, enabling students to make data-informed decisions in software engineering contexts.

  6. Delegate for Departmental Mathematics Olympiad

    National University of Colombia

    2018 - 2018

    • Responsible for organizing and overseeing Math Olympiads at the departmental level. Ensured smooth logistics, including test preparation, distribution, and supervision.

  1. Participant

    2018

    Third International Colloquium on Representations of Algebras and Its Applications: Alexander Zavadskij

  2. Speaker

    2018

    Characterization of Artin algebras using Nakayama Algebras. CIMPA: Geometric and Homological Methods in the Representation Theory of Associative Algebras and Their Applications

  3. Finalist

    2018

    XXII College Mathematical Olympiad of Colombia.

  4. Speaker

    2018

    Characterization of Artin Algebras via Nakayama Algebras. XX Local Encounter of Research Seedbeds

  5. Participant

    2017

    Alterman Summer School on Algebraic geometry & Kälher Calculus. The University of Architecture, Civil Engineering and Geodesy. Sofia, Bulgaria

  6. Participant

    2017

    IV International Encounter in the field of Exact and Natural Science Education

  7. Speaker

    2017

    A Brief Introduction to Soliton Theory. XXI National Congress of Mathematics

  8. Participant

    2016

    Second Training Courses Focus on Probability and Stochastic Process

  9. Participant

    2015

    XX National Congress of Mathematics

  1. Optimizing Predictive Accuracy for Fatal Heart Failure via Machine Learning

    2022

    Skills: Data Modeling, R, Python, Analytics

  2. Fine-Tuning Transformer Networks for Sentiment Analysis with Natural Language Processing (NLP)

    2022

    Skills: Data Modeling, Big-Picture Thinking, R, Python, Machine Learning

  3. Statistical Learning for Customer Response Modeling in Real-World Marketing Big Dataset

    2021

    Skills: Statistical learning, R, Python, Big data

  4. Regression and Classification of BIO data

    2021

    Skills: SAS, R, Bio statistics