With over a decade of experience, I have successfully developed predictive models and data-driven solutions across various industries, including public, finance, and technology sectors. My strong analytical skills, coupled with proficiency in Python and its ML libraries, as well as in R, SQL, Rapid Miner, and acquaintance with advanced data science techniques and solutions, enable me to tackle complex business cases effectively. Additionally, my excellent interpersonal abilities ensure seamless collaboration with stakeholders to achieve impactful results.
I look forward to the opportunity to discuss how my experience and skills align with the needs of your team.
This portfolio presents a comprehensive overview of my last freelance projects in Statistical ML/XAI modeling, showcasing my expertise and successful collaborations across various industries.
- Dynamic Pricing Model for Flights
• Duration: 01/30/2020 - 03/20/2020
• Description: Dynamic daily pricing model for flights based on demand, sales rates, and competitor airline pricing.
• Client: Arkia (through Matrix Software)
• Contact Person: Yishai Toledo,Phone details not available. Sign in: https://www.twine.net/signup - Business Insights Models for Clothing Sales
• Duration: 07/28/2020 - 05/20/2021
• Description: Models for analyzing business insights from clothing sales to support marketing decisions.
• Client: EDEA - Renoir
• Contact: Yariv Haba,Phone details not available. Sign in: https://www.twine.net/signup - Hospital Admission Prediction Models
• Duration: 09/22/2020 - 06/20/2021
• Description: Models to predict emergency room admissions and patient stay duration using historical admission data and patient test results.
• Client: Yichilov Hospital (through Matrix)
• Contact Person: Michael Triger,Phone details not available. Sign in: https://www.twine.net/signup - Student Dropout Prediction Model
• Duration: 05/30/2021
• Description: Predictive model for student dropout rates at Tel Aviv-Jaffa Academic College.
• Client: Tel Aviv-Jaffa Academic College (through Matrix)
• Contact Person: Boaz Gudovitz,Phone details not available. Sign in: https://www.twine.net/signup
• Data Scientist: Alon Shapiro - Predictive Maintenance Model for Trains
• Duration: 01/27/2021
• Description: Predictive model to forecast machine errors and implement preventive maintenance techniques for Israel Railways.
• Client: Israel Railways, Research and Development Department
• Contact Person: Gabriel Davidian,Phone details not available. Sign in: https://www.twine.net/signup
Audience Learning Models Development
• Description: POC model for recommendations for upgrading to premium subscriptions
Client : Yes.
Contact Person : Roi Meirov,Phone details not available. Sign in: https://www.twine.net/signup
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