Data Scientist Machine Learning

Faezeh Vaseghi

Foster City, CA 818-***-**** ******.*******@*****.*** linkedIn page

Professional Summary

Accomplished Data Scientist with a strong background in machine learning, Python, SQL and Spark. Passionate about using data to solve complex problems, drive business growth, and create meaningful customer experiences. Skilled at collaborating with cross-functional teams to deliver impactful solutions, from enhancing customer retention to optimizing marketing strategies. Dedicated to continuous learning, innovation, and mentoring others to succeed. Professional Experience

Albertsons Companies

Lead Data Scientist, May 2023 - Present

Senior Data Scientist, Apr 2022 - Apr 2023

• Developed the Sincerely Health acquisition model to target marketing emails to a selected audience, improving the signup/email rate by 15 times compared to emailing the entire eligible population.

• Spearheaded the development of a lookalike model for pharmacy data using propensity score matching to calculate incremental revenue, significantly boosting business impact.

• Enhanced customer retention in e-commerce by designing and deploying machine learning models, resulting in marked improvements in loyalty and repeat purchases, and achieving $63M in realized incremental revenue in 2023.

• Led cross-functional initiatives to integrate analytics into core business processes, optimizing customer journeys and experiences.

• Conducted comprehensive A/B testing to refine marketing strategies, utilizing iterative model adjustments for maximum impact.

• Built a FreshPass prospective model to identify target audiences for campaigns, significantly increasing trial subscriptions.

• Designed and implemented a churn model to ensure trial customers continued their subscription, leading to reduced churn in both annual and monthly subscription programs.

Futurewei Technologies

Data Scientist, Nov 2019 - Apr 2022

• Advanced ad performance analytics by processing complex datasets and applying sophisticated analytical methods.

• Pioneered the use of TensorFlow in developing algorithms for traffic prediction and user behavior classification, contributing to open-source projects.

• Devised a deep interest network-based model, enhancing target audience identification and engagement strategies.

Blue Cross Blue Shield of MI

Data Scientist, Nov 2018 - July 2019

• Implemented Python-based NLP algorithms to analyze customer satisfaction, directly impacting the MIBlue chatbot project's success.

• Responsible for weekly performance analysis, data validation, and reporting, ensuring high-quality customer interactions.

Ford Motor Company

Data Scientist Intern, May 2018 - August 2018

• Developed an analytics dashboard for customer data visualization, supporting strategic decision-making in the Chariot car-sharing project.

• Utilized Python to design experiments and models aimed at understanding and predicting customer behavior for targeted marketing initiatives. Education

• Engineering Leadership Professional Program, UC Berkeley

• M.Sc. in Computer Science, Wayne State University, GPA: 4.0

• M.Sc. in Industrial and System Engineering, Iran University of Science and Technology, Top 5% Honor, 2010

• B.Sc. in Industrial Engineering, Iran University of Science and Technology, Top Student Honor, 2008

Skills: Python, PySpark, MySQL, Databricks, GCP, AWS, Azure ML, Neo4j Certifications

• LinkedIn Learning: Leadership Communications, Manager to Leader Transition

• Microsoft Certification: Data Science Essentials, Introduction to R for Data Science

• Columbia University: Statistical Thinking for Data Science and Analytics

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