Estiven C. Profile

5,0

(1 recenze)

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$8 USD / hodinu

itagui,

colombia

$8 USD / hodinu

Aktuálně je zde 11:25 dop.

Připojil se května 4, 2023

0 Doporučení

Estiven C.

@estiven005

5,0

(1 recenze)

2,7

100%

$8 USD / hodinu

itagui,

colombia

$8 USD / hodinu

100 %

Úspěšně realizované projekty

100 %

V rámci rozpočtu

100 %

Včas

Nedostupné

Poměr opětovného zaměstnání

Data scientist and physics student

Results-driven data scientist with a strong physics background, dedicated to leveraging data for impactful insights. Experienced in machine learning models (Prophet, Arima, XGBoost) for actionable predictions. Conducted in-depth exploratory data analysis on domestic violence in Colombia, showcasing expertise in data cleaning, transformation, and visualization (PowerBI, Matplotlib, Seaborn, Plotly). Skills: - Completed comprehensive data science program (Universidad EAFIT) covering math, stats, SQL, Python. - 90+ hours in data analysis at Universidad de Antioquia, focusing on Python, pandas, and basic ML. - Proficient in Python for data analysis and ML, with expertise in data manipulation and visualization. - Applied regression and classification ML methods, demonstrating practical problem-solving skills. - Git and GitHub proficiency for version control and collaborative project management. Strong written and verbal communication skills, certified C2 Proficient in English (EF SET score: 78/100). - Collaborative and client-focused, ensuring tailored solutions to meet project needs. Actively expanding expertise through ongoing learning and certifications. Let's connect to discuss how my skills contribute to your data science needs. Excited about potential collaborations and delivering impactful results together.

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Portfolio

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)

In this ongoing project, I'm diving into my phone and computer browser usage data, gathered through the StayFree app. The objective is to take control of the precious time these applications consume daily. Despite the initial challenge of messy data in an Excel file, I successfully transformed it into organized CSV files using Python, incorporating relevant group-by functions.

Next, I established a connection to my local database and eliminated duplicates and non-usage days. Now equipped with refined data, I'm eager to progress to the next phase—predictive analysis using time series modeling. Through forecasting techniques like ARIMA, SARIMA, or Prophet, I aim to uncover meaningful insights into my usage patterns and identify potential triggers for excessive screen time.

By understanding my habits better, I plan to take proactive actions to limit phone and browser usage, fostering a healthier lifestyle.

Project link: https://github.com/estivengrx/statistics-of-use-project

Statistics of use project

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.

Exploratory Data Analysis Domestic violence in Colombia

SelSegToYolo, (AI)

Statistics of use project

10981950

Exploratory Data Analysis Domestic violence in Colombia

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5,0

$220,00 USD

Linear Regression Machine Learning Assignment

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.

Python

Statistics

Machine Learning (ML)

Linear Regression

Machine Learning Algorithms

Dor R.

@dorroderman14

•

před 4 měsíci

Zkušenosti

UpWork

led 2023 - Současnost

• 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

Vzdělání

Physics

Universidad de Antioquía,

Colombia

2021 - 2023

(2 roky)

Kvalifikace

Platzi

2023

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.

Universidad de Antioquia

2021

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.

Universidad EAFIT

2022

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.