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ויקטור גנין
תל אביב יפו, Israel
Freelancer
Message
ABOUT
Projects I've worked on:
Natural Language Processing (NLP):
1. Text analysis bots, able to answer questions with information stored in system.
2. Summarization of news articles and classification of ad to be displayed.
3. Analysis of finance articles using CRF-NER to predict the sentiment of stocks using MPQA sentiment lexicon.
4. Parsing of job application CVs and predicting their fitness to a specific position.
Image Processing (Computer Vision):
1. Conversion of scanned accounting documents in to text and further data extraction
Signal Processing:
1. Analysis of BLE sensor (iBeacon) proximity data to analyze customer in-store behavior.
Stream Processing:
1. Analysis of gambling bets stream for bonus distribution system.
Anomaly detection:
1. Analysis of unusual gambling activities to detect fraud intention.
Recommendation System:
1. Recommendation of products based on resemblance of user profile to purchasing users.
Clustering and Segmentation:
1. Clinical patients CRM analysis and clustering into different profile groups.
Visualization:
1. Implementing visualization module rendering plots of the following types: bars (horizontal/vertical/stacked), lines, pie, scatter, spark and tornado charts.
2. Implementing visualization module rendering CRESTA data over geographical area.
Being a professional in my field, I'm solely interested in projects in machine learning sphere, preferably long term as any solid analysis requires time.
>CONTACT ME<
LinkedIn: https://www.linkedin.com/in/victorgenindatascientist
✉ victor.genin@live.com
OR just write a message in xplace
Natural Language Processing (NLP):
1. Text analysis bots, able to answer questions with information stored in system.
2. Summarization of news articles and classification of ad to be displayed.
3. Analysis of finance articles using CRF-NER to predict the sentiment of stocks using MPQA sentiment lexicon.
4. Parsing of job application CVs and predicting their fitness to a specific position.
Image Processing (Computer Vision):
1. Conversion of scanned accounting documents in to text and further data extraction
Signal Processing:
1. Analysis of BLE sensor (iBeacon) proximity data to analyze customer in-store behavior.
Stream Processing:
1. Analysis of gambling bets stream for bonus distribution system.
Anomaly detection:
1. Analysis of unusual gambling activities to detect fraud intention.
Recommendation System:
1. Recommendation of products based on resemblance of user profile to purchasing users.
Clustering and Segmentation:
1. Clinical patients CRM analysis and clustering into different profile groups.
Visualization:
1. Implementing visualization module rendering plots of the following types: bars (horizontal/vertical/stacked), lines, pie, scatter, spark and tornado charts.
2. Implementing visualization module rendering CRESTA data over geographical area.
Being a professional in my field, I'm solely interested in projects in machine learning sphere, preferably long term as any solid analysis requires time.
>CONTACT ME<
LinkedIn: https://www.linkedin.com/in/victorgenindatascientist
✉ victor.genin@live.com
OR just write a message in xplace
LANGUAGES
English
Full professional proficiency
SKILL DETAILS
Senior Executives
CTO
Co-Founder of PAAS startup providing a solution for monetizing browser extensions through advertisement.
Designing and implementing the architecture of the entire solution in all it's aspects using Big Data and Machine Learning technologies.
Designing and implementing the architecture of the entire solution in all it's aspects using Big Data and Machine Learning technologies.
Technology
Amazon EC2 - Elastic Compute Cloud
Deployment and maintenance of up to 15 EC2 nodes using Node.js, Python Tornado, Spark, Kafka, Flume, Hive, Pig technologies.
MATLAB
Develop and tests algorithms, prototypes and technical specifications for new and existing products using Octave - the open source version of MATLAB
Software & Programming
BI, Data Science, Big Data
Designing and implementing the architecture of the entire solution in all it's aspects using Big
Data and Machine Learning technologies Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
Data and Machine Learning technologies Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
Python
NumPy, SciPy, Scikit-learn, Pandas, Matplotlib, PyMC, NLTK
DB - HBase, Hadoop
Designing and implementing the architecture of the entire solution in all it's aspects using Big
Data and Machine Learning technologies Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
Data and Machine Learning technologies Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
DB - MongoDB
Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
Algorithm Development
Anomaly detection, Signal/Stream Processing and Natural Language Processing, Visualization, Recommendation System.
Scala
MLlib, GraphX
DB - NoSQL
Redis, Kafka, MongoDB, Hadoop, Ambari, Hive, Pig, Sqoop, Flume, Oozie, Spark, Solr.
Back-end Developers
EMPLOYMENT HISTORY
August
2014
-
Today
Freelance Data Scientist | Machine Learning Engineer | Data Analyst | Artificial Intelligence
Self-employed- • Designing data analysis and visualization pipeline in insurance, accounting, investment, project management, human resources, retail and other domains.
- • Developing and evaluating data models for new and existing products.
- • Text Processing: chat-bots, sentiment analysis and text summarization
- • Image Processing: object identification, image to text transformation
- • Machine Learning: deep learning and artificial intelligence
- • Full stack Data Analysis: data strategy, data modelling, data mining, anomaly detection, segmentation, classification and prediction.
January
2013
-
August
2014
Team Lead - User Behaviour Analytics
PLAYWISE- • Management the development of data analysis projects in gambling domain.
- • Offshore and in-house matrix management according to Agile Scrum methodology.
- • Players gambling habits data analytics using Machine Learning and Big Data technologies.
- • Building bonus distribution engine based on users' real time activity events.
January
2012
-
January
2013
Co-Founder and CTO - System Architect and Product Manager
BumbleAd- • Co-Founder of PAAS start-up providing a solution for monetizing browser extensions through advertisement.
- • Designing and implementing the architecture of the entire solution in all its aspects using Big Data, NLP (Natural Language Processing) and Machine Learning technologies.
- • Text analysis, recommendation engines, users' segmentation and ROI (return on investment) optimization algorithms.
October
2010
-
January
2012
Senior Web Team Lead - Project and Matrix Management
NGSoft- • Offshore and outsource matrix management of concurrent projects in different life cycle stages.
- • Designing the architecture of solutions and integration between different parties.
- • Working according to Agile methodologies (Scrum and Kanban).
- • Data mining from different sources including data modelling and planning data strategy.
October
2009
-
October
2010
System Analyst - Business Requirements
USAGC- • Analysis of CRM (customer relationship management) system for the in-house call centre.
- • Gathering requirements from various departments in the organization and prioritizing key features.
- • Quantifying future system's user-value taking into account time to market constraints.
- • Identifying sources of data including data modelling and data strategy.
January
2007
-
October
2009
Web Team Lead - Data Analysis and Integration
Globos Net communication- • Designing of the future system architecture and new data analysis features such as clustering and prediction.
- • Data integration with different mobile carriers around the globe.
April
2005
-
January
2007
Web Developer - Billing and Statistics
Globos Net communication- • Development of billing system for affiliates including various commission models (CPA, CPL), statistics and reporting using .Net and Java technologies
COURSES & CERTIFICATIONS
2016
Deep Learning for NLP
Technische Universität Darmstadt
2015
Deep Learning Summer School Conference
Montreal University
2015
Deep Learning
Oxford University
2015
Toronto University
Neural Networks for Machine Learning
2014
Natural Language Processing
Stanford University
2014
Mining Massive Datasets
Stanford University
2014
Scalable Machine Learning
Berkeley University
2013
Machine Learning
Stanford University
2013
Enterprise Search Using Apache Solr
Lucidworks
2012
Recommender Systems
University of Minnesota
2012
Using Pig, Hive, and Impala with Hadoop
Cloudera
EDUCATION
2014
-
2015
Data Science Specialization
The Johns Hopkins University
2009
-
2012
Master’s Degree, Data Mining and Machine Learning
The Open University of Israel
2005
-
2009
Bachelor’s Degree, Computer Science
The Open University of Israel
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