Bahareh Arjipour

Extracted historical data from 130M+ records for behavioral analysis in STATA & Python, amending customer segmentation Led innovative marketing campaigns through collaboration with key teams Implemented A/B tests for KPI optimization Developed interactive dashboards in Tableau & Metabase and presented recommendations to stakeholders Managed data-related ad-hoc requests and designed an automated data extraction system Awarded as Above-Average-Performance Employee of the quarter for innovative marketing ideas

Defined and developed business KPIs and real-time monitoring dashboards in Looker and Power BI, delivering insights. Extracted, cleaned, and analyzed back-end data, revealing correlations, and guiding strategic planning using SWOT analysis, increasing Customer Acquisition by 75K. Presented performance reports to diverse teams using storyline techniques. Addressed ad-hoc analysis requests, evaluating digital marketing efficiency by cost-benefit analysis, supported by self-learning of Google Ads and Analytics

+ Instructor of Python Programming for Optimization - As a Segment of the "Combinatorial Optimization" Module - Graduate Level >> Developed and conveyed lectures and coding sessions on advanced Python programming techniques, focused on "Optimizing Stochastic Problems" using the "PuLP" library.

+ Instructor of Fundamentals in Python Programming - As a Segment of the MIS module - Undergraduate Level >> Designed and delivered 14+ hours of video lectures on key Python 3 concepts, such as control structures, functions, and OOP principles. >> Led coding sessions in Jupyter Notebook, guiding both individual and group projects to promote collaboration and practical learning.

+ Module: “Statistics and Probability” - Undergraduate Level > Compiled and delivered learning materials, focusing on key topics such as hypothesis testing, linear regression, and ANOVA. > Held office hours to assist students with challenging exercises, resulting in a significant improvement in the class's final average grade. > Utilized "Applied Statistics and Probability" by Douglas C. Montgomery and George C. Runger as a primary reference text for course content.

Successfully completed all modules with top grades among classmates; currently working on my dissertation.

GPA: 18.10 (basis 20.0)