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Alex T.

@alextoross09

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5,0
1
0,2
0,2
100%

Data Scientist | Software Engineer

$40 USD / hora
・
Bandera de
Canada (8:18 p. m.)
・
Se unió el noviembre 18, 2024
$40 USD / hora
・
I am a highly skilled Data Scientist and Software Engineer with extensive experience in Python, web scraping, and large language models (LLMs). I specialize in building robust REST APIs using FastAPI, developing machine learning and deep learning solutions, and creating insightful business intelligence dashboards. My expertise spans from database management with PostgreSQL and NoSQL to implementing advanced analytical systems.
Verificaciones
A tiempo
100 %
Dentro del presupuesto
100 %
Aceptar tarifa
100 %
Freelancer Python Developers Canada
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Portafolio

Portafolio

12412550
Overview This project involves analyzing and reducing the dimensionality of gene expression datasets in cancer using the K-means clustering algorithm. The dataset contains expression data for 20,531 genes across various cancer samples, each tagged with a label representing the cancer type (e.g., BRCA for breast cancer). Key steps include: Scaling features using MinMaxScaler. Reducing dimensionality with Principal Component Analysis (PCA). These techniques enhance the K-means algorithm's ability to identify patterns and cluster the data effectively.
K-means Clustering on Gene
12412545
This project features a Python script for extracting and processing website sitemaps. The script can identify and download sitemaps from a website's robots.txt file and supports various sitemap formats such as XML and GZ. It also processes nested sitemaps and stores data in a database.
Sitemap Scraper
12412542
This project highlights my expertise in leveraging machine learning techniques for rainfall prediction. Using Jupyter Notebook, I developed a model that processes and analyzes meteorological data to forecast weather conditions with a focus on precipitation. This work demonstrates my skills in data analysis, pattern recognition, and predictive modeling.
Rainfall Prediction
12412529
This project involves a comprehensive web-based dashboard for economic analysis and visualization. Developed using Python, it integrates Dash and Plotly for interactive data visualizations and Flask for seamless backend operations. The application extracts and processes financial data from trading platforms such as MetaTrader5, presenting insights in an intuitive and user-friendly interface. Key features include live data analysis, interactive charts, and automated data processing pipelines.
Economic Analysis and Dashboard
12412524
This Python script, developed for analyzing energy consumption in consumer IoT devices, is showcased here. The script follows a modular approach that includes data collection, statistical analysis, visualization, and recommendations for reducing energy consumption. Users can define device priorities and receive insightful suggestions to optimize energy consumption in their homes.
Energy Consumption Analyst for IoT
12412520
An innovative project in the field of polyp segmentation using artificial intelligence in healthcare, showcasing challenges, technical insights, and its impact on early diagnosis and treatment.
Polyp Detection
12412550
Overview This project involves analyzing and reducing the dimensionality of gene expression datasets in cancer using the K-means clustering algorithm. The dataset contains expression data for 20,531 genes across various cancer samples, each tagged with a label representing the cancer type (e.g., BRCA for breast cancer). Key steps include: Scaling features using MinMaxScaler. Reducing dimensionality with Principal Component Analysis (PCA). These techniques enhance the K-means algorithm's ability to identify patterns and cluster the data effectively.
K-means Clustering on Gene
12412545
This project features a Python script for extracting and processing website sitemaps. The script can identify and download sitemaps from a website's robots.txt file and supports various sitemap formats such as XML and GZ. It also processes nested sitemaps and stores data in a database.
Sitemap Scraper
12412542
This project highlights my expertise in leveraging machine learning techniques for rainfall prediction. Using Jupyter Notebook, I developed a model that processes and analyzes meteorological data to forecast weather conditions with a focus on precipitation. This work demonstrates my skills in data analysis, pattern recognition, and predictive modeling.
Rainfall Prediction
12412529
This project involves a comprehensive web-based dashboard for economic analysis and visualization. Developed using Python, it integrates Dash and Plotly for interactive data visualizations and Flask for seamless backend operations. The application extracts and processes financial data from trading platforms such as MetaTrader5, presenting insights in an intuitive and user-friendly interface. Key features include live data analysis, interactive charts, and automated data processing pipelines.
Economic Analysis and Dashboard
12412524
This Python script, developed for analyzing energy consumption in consumer IoT devices, is showcased here. The script follows a modular approach that includes data collection, statistical analysis, visualization, and recommendations for reducing energy consumption. Users can define device priorities and receive insightful suggestions to optimize energy consumption in their homes.
Energy Consumption Analyst for IoT
12412520
An innovative project in the field of polyp segmentation using artificial intelligence in healthcare, showcasing challenges, technical insights, and its impact on early diagnosis and treatment.
Polyp Detection
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5.0 · 1 Review
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Avatar del usuario
a script to run a code • $13 USD
Great guy he is..., he is good, quick, understanding and very professional...
Princewill O.
@pbolali69
•
Bandera de
Abuja, Nigeria
•
hace 3 días
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