Mostafa Amin-Naseri Email & Phone Number

San Francisco, CA, US

• Led the development of a critical model to mitigate the loss of a fundamental data source to maintain customer satisfaction, with a significant impact on customer retention.
• Developed an outlier detection product from incubation to delivery, to handle significant outliers in training download and revenue estimation models, that resulted in 80% reduction in customer tickets.
• Collaborated with cross-functional teams, including Data modeling, Data analysts, PMs, and TPMs, to ensure timely delivery of requirements into production.

• Led development a customer segmentation model to prioritize prospects which resulted in 20% more efficiency of the sales team and growth in demand.
• Led the developed a demand prediction product for a medical supplier company that resulted in 10% efficiency in the supply chain.

San Jose, CA, US

• Technical lead on a global cross-functional product across sales, servicing, and analytics orgs to design and develop PayPal's Merchant Health Score, which resulted in 2K+ internal user adoption.
• Created a contextual churn and decline (C&D) model that identified the cause of churning, leading to a 33% reduction in CSM response time and an 8% increase in handling C&D cases.
• Developed an award-winning deep-dive analysis product that democratized access to data for a team of 20+ financial analysts reporting to the CFO of North America, reducing the analysis time by more than 400%.

San Francisco, CA, US

• Created a targeted review feature extraction tool that extracts insights on user specified aspects of a product
• Deployed an interactive web-app to visualize the findings on AWS using Python, Flask, HTML and CSS

Ames, Iowa, US

• Working in an interdisciplinary research group leveraging techniques from various backgrounds to add value to real-world research problems. Select projects: Real-time Waze feed clustering
• Created a real-time clustering method for raw crowdsourced Waze traffic data
• Reduced the raw data feed by 60% through clustering
• Enhanced the feed by providing the traffic queue length, duration, and reliability of the reports
• Introduced customized measures for cluster validation and parameter tuningWaze data evaluation
• Created quality metric for Waze data in comparison to existing data sources

In a Marketing Strategy development Project for The National Iranian Drilling Company (NIDC): - Analyzed opportunities and threats according to the national 20-year vision. (SWOT analysis) - Implemented an AHP (Analytical Hierarchy Process) method to prioritize the target markets. - Delivered the official project report and documentation.

Doctor Of Philosophy (Ph.D.), Industrial Engineering/ Minor In Statistics

Master'S Degree, Industrial Engineering

Bachelor'S Degree, Industrial Engineering