プロフィール詳細

プロジェクトを作成

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Lampros M.に依頼

Greece

Experienced R programming Data and Remote Sensing Analyst who utilizes Python for deep learning tasks

プロフィール概要

I have a degree in Business Administration and I am a self taught programmer (R, Python, C++) and data analyst. Besides using R, Python for data processing and analysis I am capable of working with satellite imagery (Sentinel, MODIS, VIIRS) and I can perform image segmentation, object detection and classification in both regular images and remote sensing data using deep learning frameworks. I utilize (mostly), • the 'Rcpp' package in R to efficiently process data • the 'raster', 'stars', 'sf', 'reticulate' packages for remote sensing processing • the 'ggplot2', 'shiny' and 'Leaflet' packages for visualization and applications • the 'Keras' and 'Pytorch' Python packages for the deep learning tasks

専門分野

• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Correlation Analysis
• ☆ Spatial Statistics
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ Geography & Cartography
• ☆ Geographic Information Systems
• ☆ Environmental Science
• ☆ Pollution Control & Waste Management
• ☆ Air Pollution
• ☆ Deforestation
• ☆ Python
• ☆ R
• ☆ Scikit-learn

サービス

• Writing
• Research
• Data & AI
• Product Development

Writing Copywriting

Research Market Research, Systematic Literature Review

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Prototyping

職務経験

Data and Remote Sensing Analyst

Monopteryx

10月 2021 - 現在

学歴

Business Management

Eberhard-Karls-Universität Tübingen - Germany

9月 1996 - 12月 2000

認定資格

• Practical Machine Learning

  Coursera (Johns Hopkins University)

  7月 2014 - 7月 2014

• Exploratory Data Analysis

  Coursera (Johns Hopkins University)

  6月 2014 - 6月 2014

• R programming

  Coursera (Johns Hopkins University)

  5月 2014 - 5月 2014

• An Introduction to Interactive Programming in Python

  Coursera (Rice University)

  1月 2014 - 1月 2014

• Cluster Analysis in Data Mining

  Coursera (University of Illinois at Urbana-Champaign)

  1月 2014 - 1月 2014

• Machine Learning

  Coursera (Stanford University)

  1月 2014 - 1月 2014

• Introduction to Data Science

  Coursera (University of Washington)

  6月 2013 - 6月 2013

出版物

JOURNAL ARTICLE

Mouselimis, L(2021). KernelKnn: kernel k nearest Neighbors. URL: https://CRAN. R-project. org/package= KernelKnn.

Mouselimis, Lampros and Sanderson, C and Curtin, R and Agrawal, S and Frey, B and Dueck, D(2019). ClusterR: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering. R package version. 1. (8).

Mouselimis, L and Gosso, A(2018). elmNNRcpp: The Extreme Learning Machine Algorithm. R package. 1. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1.

Mouselimis, L(2017). OpenImageR: an image processing Toolkit. R package version. 1. (5).