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Estiven C.

@estiven005

5.0
3
3.2
3.2
100%

|✅Verified data scientist | Physics student |

$10 USD / Hour
・
Flag of
Colombia (2:21 AM)
・
Joined on May 4, 2023
$10 USD / Hour
・
Hello! I'm Estiven, a data scientist from Colombia with a strong background in physics and a passion for solving complex problems. I have developed a Flask-based Python application to extract, analyze, filter, and calculate various stock metrics, helping users make informed investment decisions. In addition, I collaborated with a team to create an AI project focused on the segmentation and classification of animal images, which we entered into a local AI competition. My Python skills are exceptional, and I have successfully completed over 15 personal and business projects using this language. I am also proficient in Excel, Power BI, R, and SQL, which I have utilized in numerous data analysis projects. Here are a few notable projects I have worked on: ✅Analyzed personal technology device usage over two years using Power BI, which involved data cleaning, transformation, automating processes with Python scripts, and managing a local database. ✅Completed Python code to create from scratch machine learning models and explain its mathematical functionality. ✅Created a data visualization notebook about the insights from domestic violence data from Colombia using Python. ✅Generated complete reports using Excel about Japan and Spain country data, researched many data sources to answer questions about them. Let's connect to discuss how my skills contribute to your data science needs. I am excited about potential collaborations and delivering impactful results together.
Verifications
On time
100%
On budget
100%
Accept rate
100%
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Portfolio

Portfolio

12424604
The CognoRise InfoTech Data Science Internship project showcases hands-on tasks from March 20, 2024, to April 20, 2024. Tasks include developing a credit card fraud detection model, analyzing shopper sentiment using customer reviews, and building predictive models for fake news detection. Key components involve data preprocessing, machine learning, and sentiment analysis, with insights shared through Jupyter notebooks, data profiling reports, and models saved using Python libraries such as pandas, scikit-learn, matplotlib, and seaborn.
Cognorise ML Internship
The CognoRise InfoTech Data Science Internship project showcases hands-on tasks from March 20, 2024, to April 20, 2024. Tasks include developing a credit card fraud detection model, analyzing shopper sentiment using customer reviews, and building predictive models for fake news detection. Key components involve data preprocessing, machine learning, and sentiment analysis, with insights shared through Jupyter notebooks, data profiling reports, and models saved using Python libraries such as pandas, scikit-learn, matplotlib, and seaborn.
Cognorise ML Internship
12424602
The Wine Exploration and Clustering Project is designed to analyze and cluster Italian wines based on their attributes using KMeans clustering. The project is organized into directories for data handling, model storage, and detailed analysis through Jupyter notebooks. It includes an API for data extraction and interaction, which can be accessed via endpoints for data retrieval, exploration, and clustering analysis. The project is deployable using Docker, facilitating an easy setup and access to the analysis tools. With Python 3.11 and a structured data pipeline, the project aims to reveal hidden patterns within wine characteristics, enabling deeper insights into their classification and relationships.
Wine exploration and clustering
The Wine Exploration and Clustering Project is designed to analyze and cluster Italian wines based on their attributes using KMeans clustering. The project is organized into directories for data handling, model storage, and detailed analysis through Jupyter notebooks. It includes an API for data extraction and interaction, which can be accessed via endpoints for data retrieval, exploration, and clustering analysis. The project is deployable using Docker, facilitating an easy setup and access to the analysis tools. With Python 3.11 and a structured data pipeline, the project aims to reveal hidden patterns within wine characteristics, enabling deeper insights into their classification and relationships.
Wine exploration and clustering
12424595
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
11532503
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
10981950
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
EDA Domestic violence in Colombia
12331179
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
12424604
The CognoRise InfoTech Data Science Internship project showcases hands-on tasks from March 20, 2024, to April 20, 2024. Tasks include developing a credit card fraud detection model, analyzing shopper sentiment using customer reviews, and building predictive models for fake news detection. Key components involve data preprocessing, machine learning, and sentiment analysis, with insights shared through Jupyter notebooks, data profiling reports, and models saved using Python libraries such as pandas, scikit-learn, matplotlib, and seaborn.
Cognorise ML Internship
The CognoRise InfoTech Data Science Internship project showcases hands-on tasks from March 20, 2024, to April 20, 2024. Tasks include developing a credit card fraud detection model, analyzing shopper sentiment using customer reviews, and building predictive models for fake news detection. Key components involve data preprocessing, machine learning, and sentiment analysis, with insights shared through Jupyter notebooks, data profiling reports, and models saved using Python libraries such as pandas, scikit-learn, matplotlib, and seaborn.
Cognorise ML Internship
12424602
The Wine Exploration and Clustering Project is designed to analyze and cluster Italian wines based on their attributes using KMeans clustering. The project is organized into directories for data handling, model storage, and detailed analysis through Jupyter notebooks. It includes an API for data extraction and interaction, which can be accessed via endpoints for data retrieval, exploration, and clustering analysis. The project is deployable using Docker, facilitating an easy setup and access to the analysis tools. With Python 3.11 and a structured data pipeline, the project aims to reveal hidden patterns within wine characteristics, enabling deeper insights into their classification and relationships.
Wine exploration and clustering
The Wine Exploration and Clustering Project is designed to analyze and cluster Italian wines based on their attributes using KMeans clustering. The project is organized into directories for data handling, model storage, and detailed analysis through Jupyter notebooks. It includes an API for data extraction and interaction, which can be accessed via endpoints for data retrieval, exploration, and clustering analysis. The project is deployable using Docker, facilitating an easy setup and access to the analysis tools. With Python 3.11 and a structured data pipeline, the project aims to reveal hidden patterns within wine characteristics, enabling deeper insights into their classification and relationships.
Wine exploration and clustering
12424595
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
With a proven track record of 20+ freelance projects, I specialize in data analysis, machine learning, and automation, delivering tailored solutions for diverse industries. My expertise includes: Developing AutoDecoder and Variational AutoDecoder (VAD) models for tasks like image reconstruction and anomaly detection, utilizing techniques like t-SNE visualizations and smooth latent representation learning. Conducting Bayesian analysis for statistical modeling in areas like queueing systems and sports analytics, providing insightful metrics through advanced statistical tools. Automating data scraping and processing for platforms like Booking.com and Expedia, creating streamlined workflows for actionable insights. Designing and implementing Power BI dashboards to analyze sales trends, visualize data, and support strategic decision-making. Advanced image processing using tools like OpenCV and matplotlib, handling tasks such as grayscale conversion, Fourier transforms, and feature extracti
Data Science Solutions 20+ projects
11532503
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
SelSegToYolo is a tool that assists in training artificial intelligence models for image classification, detection, and/or segmentation. Leveraging the segmentation power of Segment Anything and the detection/classification capabilities of Yolov8, this training method removes image "noise," enabling the model to focus solely on the object of interest, optimizing its learning process. Project link: https://github.com/andres-mestra/SelSegToYolo
SelSegToYolo, (AI)
10981950
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
Project link: https://github.com/estivengrx/eda-domestic-violence This exploratory data analysis was all made in python, demostrating my coding logic, process and abilities. It is based on the dataset provided by DIJIN and National Police from Colombia, which contains updates about data from all over the country on domestic violence reported between 2010 and 2022, the most recent of which was on December 9 (Last update). Some of the most important insights that were extracted from the data: -December is the month with the highest number of reported cases in Colombia, indicating a seasonal pattern in the data. -Handguns are the most common type of gun used in domestic violence cases in Colombia, with scopolamine also being a significant factor in such incidents. -Adult females are the most common victims of domestic violence in Colombia, with little variation in the number of affected minors between males and females.
EDA Domestic violence in Colombia
EDA Domestic violence in Colombia
12331179
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
Application that I have designed to analyze stocks based on user input and provide visualizations for specific stocks. It also includes a back testing module to evaluate the performance of the app's predictions over historical data.
Stock analysis flask application
Changes saved
5.0 · 3 Reviews
Reviews
A
Customer Data Trend Analysis using R/Python • $25 CAD
Exceptionally talented guy! We had a pretty difficult assignment and Estiven made sure that all the requirements were met. He even worked more than anyone should have! Would definitely work with him again. Thanks!
Arindam G.
@arindamg1
•
Flag of
Dieppe, Canada
•
1 month ago
Share
M
Python Coder for Stock Pop Predictor • $225 AUD
Great to work with. Very prompt.
Mathieu D.
@MathieuDGS
•
Flag of
ST LUCIA, Australia
•
8 months ago
Share
User Avatar
Linear Regression Machine Learning Assignment • $220 USD
Estiven is very dedicated and professional, provided me the work before deadline and managed to complete the task perfectly by the requirements. He has really deep understanding of machine learning algorithms and I will hire him again for sure.
Dor R.
@dorroderman14
•
Flag of
Rishon Lezion, Israel
•
1 year ago
Share
Experience
Data Scientist
Jan, 2023 - Present
•
1 year, 11 months
UpWork
Jan, 2023 - Present
•
1 year, 11 months
• Succesfully extracted and organized 11.000+ public domain data sets through APIs from Kaggle, OpenML and HuggingFace. • Optimized in almost 75% better Python code to download data from APIs
Jan, 2023 - Present
•
1 year, 11 months
Education
Universidad de Antioquía
2021 - 2023
•
2 years
Physics
Flag of
Colombia
2021 - 2023
•
2 years
Qualifications
Git and GitHub Professional Course
2023
Platzi
I completed this course on Git where I learned how to manage version control, collaborate with teams, use GitHub pages, and install Git on my system. Now, I can manage my projects more efficiently by using Git as the industry standard version control system.
2023
Diploma in data analysis and Machine Learning in Python
2021
Universidad de Antioquia
I completed this 90-hour diploma course in Data Analysis and Machine Learning using Python for scientific and business purposes. Through this course, I acquired knowledge in Python programming, data preprocessing, data visualization, exploratory data analysis, and predictive modeling using regression. I successfully achieved all the objectives and gained skills to apply these techniques in real-world situations.
2021
"Diploma: Python Data Scientist"
2022
Universidad EAFIT
I achieved the ability to identify use cases, determine data sets and appropriate algorithms to create Artificial Intelligence models to make actionable predictions for the future.
2022
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