DATA SCIENCE GROUP

interdisciplinary ai lab for real-world CHallenges
Bringing the power of agile data science and artificial intelligence to every business
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DSG IN A NUTSHELL

Data Science Group (DSG) combines mathematical, statistical, computer science, information technology, and soft skills to tease insights from enterprise data and build AI driven solutions to real world problems. We are a multidisciplinary team of seasoned experts active both in the academic world and the industry. We work with leading companies across diverse domains: ad-tech, credit scoring, fin-tech, hi-tech, banking, finance, and others.

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expertise

Machine Learning
DATA MINING
Statistical Analysis
Deep Learning
Social Network analysis
Analysis
Text Mining
Sentiment Analysis
Graph Mining
Visualization
Applied Math
EXPLORATION

Agile Data Science

unique methodology for rapid data science project development

01

Collaborating with business stakeholders throughout the project

02

Engaging a multidisciplinary team with expertise in varied technologies, data, and tools

03

Developing models with comprehensive documentation

04

Dynamically adapting to changes over the course of the project

OUR PROCESS

We aim to address the challenges of data science using a unique methodology based on concrete practical experience gained from numerous data science projects in diverse domains

TEAM

We provide a unique combination of specialties, with experts and researchers from different fields, each with an extensive academic background, hands-on practical orientation, and many years of experience in the industry.

OPERATIONALIZATION

Formulating business problem concisely in terms of KPI and measurable metrics, involving business stakeholders at every stage of the process.

RESEARCH

Research and rigor exploration of the problem domain in cutting-edge scientific publications. Being experts and researchers from different fields each with an extensive academic background and hands-on practical orientation allows for bridging the gap between scholars and practitioners.

PREPROCESSING

Conducting tasks associated with exploratory data analysis which combine basic descriptive statistics with more advanced techniques of feature engineering and data cleaning.

MODEL DEVELOPMENT

Developing models from inception and conceptualization to proof of concept, to production stage using a variety of novel and state-of-the-art machine learning and data science algorithms.

MAINTAINABLE
DATA SCIENCE

Ongoing maintenance and adaptation of the model as the environment changes over time, as models tend to erode silently.

SOME OF OUR TRUSTED CLIENTS

PARTNERSHIPS

WHAT OUR CUSTOMERS SAY

NIR SAGIV - CTO , Chief product manager

“ When building up our P2P credit scoring platform, Data Science Group helped us build predictive models and explore data mining algorithms. We received high quality and well-managed data science professional services ”

DROR BEN-ISHAY - CEO Intlock Web Analytics Solutions

“Data Science Group provided us with clear and thoughtful support for our data mining products that was tactical in nature and executable by our team given the deadlines. They assisted us in selecting the right settings and algorithms for the task at hand, and most importantly conducted a complete knowledge transfer session with our developers.”

MICHAEL DRUKER - Managing Director of WeSEE Israel

“The Data Science Group provided us a framework for a classification model aiming to enable automatic video categorization given predefined taxonomy. They managed to develop a model and API based on Deep Learning algorithms which helped in classifying video images with an overall accuracy above 80%.”.

KENNY KRUPNIK - Head of R&D at 3M Electronic Monitoring Ltd

“...3M Electronic Monitoring is exploring the usage of analytics and predictive methods to help our customers (typically government departments) to achieve deeper insights... Dr. Elan Sasson has provided us a great eye-opening and educational training and kick-start to the entire R&D organization, including theory, practical tools and live examples. The feedback from the audience was excellent and I hope to work with him again in the future.”

Inbal Fridfertig - Information Systems Engineer AT INTEL Kiryat Gat

"I would really like to thank you for the “Introduction to Data Science” course you gave us recently at Intel. Your course is very Professional, Built in the right flow and allows all kind of users to talk in the same language. It combines all the Theory, basic math behind it, Usage Examples and Python Practical hands-on. The trainees gave a great feedback and really enjoyed the course and the lecturer. I highly recommend the course and really happy I’ve chosen you over other choices I had!"

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