A passionate freelance Data Scientist with a focus on classification and NLP problems. MSc in Data Analytics from Leeds University, built a Social Media Analytics startup from scratch. Currently advising companies on how to best use their data to optimize business decisions.
Services I offer
Github Repository: https://github.com/karimouda/country-friendliness-index
Technologies used: R | Node.js
Technologies used: D3, Javascript, HTML & CSS
Technologies used: R | Python | AWS | Docker
Hands-on support for fetching data from different sources such as Facebook Ads and Google Analytics APIs, then storing it in a centralized database for future analysis and visualization.
Technologies used: Python | MySQL | AWS | Facebook APIs
Overseeing the Search Ranking feature on Zalando's website
Technologies & tools used: Jira | Google Analytics
Predicting the relevance of search results for homedepot.com
https://www.kaggle.com/c/home-depot-product-search-relevance/leaderboard
Technologies used: R
Predicting users’ demographic characteristics based on their app usage, geolocation, and mobile device properties
https://www.kaggle.com/c/talkingdata-mobile-user-demographics/leaderboard
Technologies used: R | Python
Semantic Search and Intelligence System for the Quran. The system includes a smart “Search Engine”, concept
exploration and visualization, 20 views for Computational Linguists such as TFIDF frequency tables, word
clouds, concordance, n-grams, word similarity, PoS query and more.
https://qurananalysis.com
Github Repository: https://github.com/karimouda/qurananalysis
Technologies used: PHP | D3 | HTML | CSS | Javascript
One of the top WEKA tutorials on the internet. Guiding 1) How to approach a document classification problem using WEKA 2) What are the options available in WEKA to prepare your dataset for Machine Learning classification algorithms 3) Which algorithms works best for this problem 4) How to evaluate the results
Technologies used: WEKA
I managed to bootstrap this company as a sole entrepreneur building the whole technical stack. Conducted analysis for different purposes (clients, marketing, etc)
Technologies used: PHP | Highcharts | HTML | CSS | Javascript | Social Media APIs | Google Analytics