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Sebastian Gabriel Ormaechea

Sebastian Gabriel Ormaechea

Data Scientist (Agricultural Engineer)

Kilimo agtech | Argentina

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

My New Track

Python Fundamentals

Quantitative strategist, harnessing the power of data for strategic advantage.

My Work

Take a look at my latest work.

course

Understanding Data Science

course

Understanding ChatGPT

course

Introduction to Python

course

Understanding Data Science

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to Power BI
Intermediate SQL

My Work Experience

Where I've interned and worked during my career.

Kilimo | Sep 2023 - Dec 2024

Data Scientist

Developed a two-step predictive modeling approach to estimate monthly total irrigation, incorporating the preprocessing of satellite data (e.g., Planet Soil Water Content) to enhance model accuracy. Specialized in designing and improving automated irrigation recommendation methods, contributing to more efficient water resource management. Leveraged Big Data tools, SQL queries, and advanced analytical techniques, including simulations and descriptive analyses, to drive actionable insights. Collaborated with multidisciplinary teams to deliver impactful results and presented findings to diverse audiences, supporting data-driven decision-making in agriculture.
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Universidad Austral de Rosario | Jul 2022 - Jun 2024

Professor in Big data & Machine learning module for agriculture

Taught Big Data & Machine Learning in the Diploma in Agro Analytics program, focusing on equipping professionals with data-driven skills to enhance efficiency in agribusiness and agricultural activities. Emphasized practical applications of data analysis and machine learning to solve real-world challenges in the agricultural sector, fostering innovation and informed decision-making.

IThreex Global | Dec 2022 - Sep 2023

Data Scientist

I developed four predictive models for various types of taxes, using time series data with over 1 million tax obligations. The models were based on XGBoost with recursive ex-ante methods to predict payment delays, optimizing accuracy in tax collection planning. I conducted a clustering analysis to segment taxpayers into distinct behavioral profiles, enabling data-driven strategies to improve compliance and reduce delays.

Anyone AI | Jul 2022 - Dec 2022

Machine Learning Engineer

- Image Classification for E-Commerce: Predict vehicle make and model from unstructured e- commerce images. Trained on a pre-built dataset of 837 classes. Visualized and cleaned the dataset, pre-processed and augmented data, and trained a fine-grained classification model using convolutional neural networks achieving 71% accuracy in the prediction of make and model combined. Deployed in AWS instances using Docker, using an API-based web-service application. - Products review classification (NLP): Analyzed the sentiment in product reviews for a movie streaming service. Manipulated data that was not in a traditional format, pre- processed it, and vectorized text data using BoW and TF-IDF. Trained a word embedding and used it as a vectorization source for the data. Trained a sentiment analysis model to detect positive and negative opinions for movie reviews, reaching a maximum ROC AUC of 0.94. - Home Credit Risk Analysis: Predicted whether a person applying for a home credit will be able to repay his debt or not. Manipulated and visualized data, and performed data pre- processing for a large dataset of +350,000 transactions. Trained many supervised models were achieving +0.75 ROC AUC. The models used were Logistic Regression, Random Forest, and LightGBM. - Salary Prediction Model and Stars binary classification: Collected and analyzed data via an API using Python and Pandas. The goal was to predict salary levels based on historical data for sports players. The original dataset was unbalanced. Cleaned up data, generated additional fields, stored and created a base dataset. Manipulated and visualized data. Performed feature engineering and standardization. Trained a Linear regression model, SGDRegressor and DecisionTreeRegressor compared through MAE. Regarding the binary classification, a Logistic Regression model was performed, achieving an F1 score of 99%.

Nandi | Feb 2021 - Sep 2022

Technical advisor in livestock systems and technological companies

- Advised the R&D department to contribute to the study of cattle-raising issues and the behavioral biology of animals. - Leveraged my experience in developing and applying GPS monitors in cattle to understand some bottlenecks in the development process. - Contributed to the app and web page development using knowledge of the business and the future users (stakeholders).

National Institute for Agricultural Technology | Apr 2017 - Feb 2021

Researcher and Extensionist agent

Scientific publication. Research essays. Communication and transfer to the rural sector. Vinculation with groups of extension technicians. Vinculation with universities and groups of livestock producers for productive development. Institutional linkage. Co-organization of events. Co-director of master's thesis student.

National Institute for Agricultural Technology | Apr 2007 - Mar 2017

Researcher

Scientific publication. Research essays. Communication and technology transfer (training, seminars, workshops, etc.). Participation as a planner of scientific and technical conferences.

National Institute for Agricultural Technology | May 2015 - Feb 2016

Research coordinator

Coordination of research groups. Institutional management. Communication management and technology transfer to the rural private sector

Trans-Ecologica SRL | Oct 2006 - Mar 2007

Environmental Consultant

Planning, control and development tasks

Profesional independiente | Jul 2006 - Sep 2006

Preparation of Environmental Impact Studies privately

N/A

Undersecretary of Environment of the Province of Santa Cruz | Jan 2006 - Jun 2006

Preparation of Environmental Impact Studies

Evaluation of environmental impact studies. Environmental field inspection in the southern oil basin

My Education

Take a look at my formal education

Post-graduate certificate in Data ScienceNational University of Córdoba | 2022
Data Scientist with Python Track, Data scienceDataCamp | 2022
PhD, Agricultural SciencesNational University of Buenos Aires | 2020
Magister in Natural Resources, Agricultural SciencesNational University of Buenos Aires | 2012

About Me

Sebastian Gabriel Ormaechea

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