Experience

Diffe.rent
• United States
• Real Estate
• 1 - 100 Employee
• Lead Data Scientist

  • Apr 2022 - Present


Citi

• Mexico
• IT Services and IT Consulting
• 100 - 200 Employee

• Data Scientist / Machine Learning Engineer

  • Jun 2020 - Apr 2022

  Working on end-to-end project of anomaly detection solution: 1. work closely with the client: define the problem, their needs, keep them in the loop of the project each week, amending and improving the solution based on feedbacks and impact. 2. Designing and coding a ML/DL solution for the problem including: data preprocessing, feature engineering, modeling, results delivery in inference time and results explainability. 3. Work closely with the UX team to design the final product and deliver the results in coherent way to non tech users using statistics and algorithm method in the background. 4. Work together with dev team to put the product into production. 5. Research and evaluation of different models and methods for anomaly detection such as: - Evaluation of anomaly detection models without any labeled data. - Advanced DL solutions for anomaly detection. Show less



IBM

• IT Services and IT Consulting
• 1 - 100 Employee

• Data Scientist / Machine Learning Engineer

  • Oct 2018 - Jun 2020

  1. Designed and implemented a summarization document system in python, using text processing, NLP algorithms and evaluation of the different methods. 2. Implemented a document classification pipeline in python from data loading to models prediction based on machine learning models and Neural network models. 3. Working closely with other data scientists on anomaly detection solution in python for temporal data. Worked on the prediction models and geographical clustering models. 1. Designed and implemented a summarization document system in python, using text processing, NLP algorithms and evaluation of the different methods. 2. Implemented a document classification pipeline in python from data loading to models prediction based on machine learning models and Neural network models. 3. Working closely with other data scientists on anomaly detection solution in python for temporal data. Worked on the prediction models and geographical clustering models.



Taboola

• United States
• Software Development
• 700 & Above Employee

• Product Analyst

  • Aug 2016 - Aug 2018

  1.Working with Algorithm team, R&D and Product managers2.Providing insights and suggestions for the company’s leading products, based on their performance and design.3.Being part of the products from the early stages while meeting to quarterly goals.4.Designing, defining KPI’s, setting, data validation and building visualization dashboards in order to showcase the performance and insights for the products. 5.Designing and conducting A/B tests for the company’s products and providing insight based on the collected data and statistical testing.6.Collecting data from various data sources, building automatic ETL process.7.Worked with Verica, Mysql, Python, Tableau, Big Query, DFP Show less

• Data Analyst

  • Nov 2014 - Aug 2016

  1.Working with customers, R&D, Product managers and exacts.2.Providing data and conclusions about the company’s clients and algorithm performance.3.Performing extensive data analysis in order to optimize and monitor the company’s algorithm.4.Designing and building automated reports for internal and external users.5.Automation of manual procedures and ETL processes.6.Worked with Verica, Mysql, Python, R, Google analytics



Israel Defense Forces

• Israel
• Armed Forces
• 700 & Above Employee

• Intelligence

  • Feb 2009 - Feb 2012

  Working for an Intelligence unit as part of a team consisting of 14 members. The work included: * Conservation and development of current intelligence products * Monitoring and processing information * Working under pressure for long hours * Multitasking * Quick decision making with important consequences * Mentoring and training Working for an Intelligence unit as part of a team consisting of 14 members. The work included: * Conservation and development of current intelligence products * Monitoring and processing information * Working under pressure for long hours * Multitasking * Quick decision making with important consequences * Mentoring and training