Data Gaurdians
Data is a precious resource. Gathering data may be an expensive task, which requires a good understanding of what one has and what is yet missing. Good data understanding is a mandatory requirement to better data analysis. This is where our data guardians come into play. Just like superheroes in a Marvel’s movie, data guardians are charged with understanding a dataset inside and out, and guarding it against misuse. With our data guardians you are never alone. Whenever you are of a need of a dataset, call one of our data guardians and they will walk through the process of gaining access to data and assist in jumpstarting your data analytics.

Using Twitter for near real-time alerts and damage analysis of natural hazards in Israel and its close surrounding

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ABOUT THE CHALLENGE - The social network of Twitter is a popular platform for sharing messages (tweets) with numerous subscribers worldwide. Our goal is to analyze damage patterns and affected regions, validate initial damage estimations and inspect how the tweets and additional mined data can assist in management of cascading events during the first hours after a catastrophe occurs.

ABOUT THE DATA - The dataset contains thousands of tweets in English, Hebrew and Arabic. In addition to the tweet itself, we can extract meaningful insights out of coordinates which the tweet was sent from, the tweet's publishing time and sentiment of the content. The Project is done with collaboration with the Department of Geography and Environmental Studies in University of Haifa.

ABOUT ME - I am a B.Sc student in Industrial Engineering and Management, Information systems, Technion. Additionally, I am a psychometry and math private tutor. Besides Hebrew and English, I am a fluent Arabic speaker. My hobbies are basketball, hiking, reading and listening to podcasts.

Bar Genossar

Customer Club Data of a Large Israeli Food Corporation

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ABOUT THE DATA - The dataset will consist information regarding each customer and her shopping history.

ABOUT ME - I Moved to Israel 8 years ago. I Was in 1% of the world best players in Dota2 (online video game) and was the youngest psychometry teacher in Israel. I like to play board and competitive games, read fantasy, science, fiction and nonfiction Books and listen to music.

Alexander Chapanin

Afimilk - Advanced Dairy Management Solutions Company

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ABOUT THE CHALLENGE - The Afimilk company is developing, manufacturing and marketing advanced computerized systems for the modern dairy farm and for herd management. The first electronic milk meter in the world was introduced by Afimilk in 1977. The company’s systems are installed and in use on thousands of farms in 50 countries across five continents.

ABOUT THE DATA - The dataset will include reports such as: milk-report from milking sensors (Afimilk MPC milk meter) and cow-report from cows monitoring sensors etc.

ABOUT ME - I was born and raised in Haifa. I did "shnat sherut" in a boarding school called "Hadasa Neurim". I served in "Orev Zanhanim" - a paratrooper's unit of the IDF. I like cooking, hiking and above all watching TV series. I'm a B.Sc student of Data science and engineering at the Technion and work as a guide of teenagers group in the scouts.

Nitay Calderon

Neighborhood Ranking Transparency Under Imperfect Competitive Markets

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ABOUT THE CHALLENGE - Rapid population growth, political shifts and economic crises are all part of a major factors which affect the global real estate market, making it very hard to predict. In our research we try to uncover the most significant features or patterns that may assist in evaluating a property’s price behavior in the future.

ABOUT THE DATA - The dataset contains information about all property sales in England and Wales in the last two decades.

ABOUT ME - BSc student of Data Science and Engineering, Technion. My passions are cooking and exploring remote parts of the world. Looking to make an impact in the world.

Igor Drozdov

G-STAT – Big Data Analytics Company
TNUVA - Israel’s Largest Food Manufacturer and Distributor

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ABOUT THE CHALLENGE - The first goal we set is to build a database infrastructure for the production process. Then, using this data we will try to predict whether the product will meet its required characteristics or not. If the result of the our prediction is not satisfying, we will be able to modify it early enough to recalculate the necessary changes, giving us the best output.

ABOUT THE DATA - The dataset will include many parameters that relate to the production process. The data is collected with the help of sensors which continuously monitor the systems throughout the entire process.

ABOUT ME - I am a B.Sc student in the Industrial Engineering and Management Faculty, Technion. My hobbies include baking and sport activities (such as running, weights, swimming etc.). I am looking forward to doing significant and interesting things.

Guy Berkenstadt