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PostgreSQL, R programming, Python, Spark, Tableau, ggplot, ML

Location:
San Diego, CA, 92122
Posted:
April 26, 2019

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Resume:

Homa Rafieian

858-***-**** ac872f@r.postjobfree.com Permanent Resident www.linkedin.com/in/homarafieian Education

Master of Science in Business Analytics, Rady School of Management, UC San Diego 06/2019

• GPA: 3.68/4.0, Awarded Rady Scholar fellowship of $20,000

• Customer Analytics, Business Analytics, Collecting and Analyzing Large Data, Managerial Judgment and Decision Making, Social Media Marketing, Web Analytics/Data Mining, Supply Chain Analytics, Experiment in firms, Pricing

M.S., Textile Engineering, Amir Kabir University of Technology, Tehran, Iran 06/2015 B.S., Textile Engineering, Isfahan University of Technology, Esfahan, Iran 09/2009 Projects

Predictive Model Comparison using Intuit Data, Rady UC San Diego 02/2019

• Created and compared classification models (including RFM, Logistic, Random Forest, XGBoost, Neural Network, Gradient Boosting Machine) to predict customer response rates among 75,000 customers, increased profit by 10.9%

Data mining on E-commerce data, Rady UC San Diego 03/2019

• Set up ETL pipeline with PostgreSQL using Pentaho; merged datasets to find the relationship between factors and shipping cost using SQL; visualized query results using Tableau

• Built three regression (Linear, Decision Tree and GBM) model to predict shipping cost; used k-means clustering model to find typical patterns

YouTube Trending Videos Analyzing Using R, Rady UC San Diego 12/2018

• Completed in-depth analysis on YouTube trending videos with logistic regression, text mining and visualizing

• Performed Sentiment Analysis on unstructured comments to generate audience emotional ratings for Topic model building

Professional Experience

Data Analyst, Karafs, Tehran, Iran 08/2015 - 05/2018 A start up internet app company, which focuses on consumers’ health and fitness

• Constructed micro-level user segments based on consumers past behavior; identified multiple behavioral segments to employ various personalization techniques using field experiments

• Created an algorithm, based off of personal health profiles, that sent personalized text messages to consumers to encourage health goals; reduced users’ bad habits by 40%

• Ran A/B test on App Page Design to compare subscription rates using hypothesis test, increased subscription rate by 24.3%

• Earned award for “Best App” for 2 years consecutively through voting from over a million users Fashion Designer and Marketing Analyst, JPA Garment Company, Tehran, Iran 09/2010 - 09/2012

• Planned and developed designs utilizing CAD technology, linking design and marketing teams

• Used pivot tables in Excel to analyze product status; assisted with team trainings

• Conducted marketing research through surveying in order to better understand customer wants and needs; Improved customer satisfaction by 25%

Textile Engineer and Technical Assistant, Rangiran Textile Company, Esfahan, Iran 09/2009 - 09/2010

• Arranged lab data at the quality control center; Presented results at quarterly reviews with company Specialized Skills

• Languages/Coding: R Statistical Software (RStudio, Rmarkdown, Tidyverse, machine learning tools), Python

(pandas, NumPy, Jupyter notebooks), PostgreSQL, Spark (PySpark), Pentaho Kettle ETL tool

• Operating Systems: Experience with GitLab Version Control Software; Proficiency in MS Word, Excel, and PowerPoint

• Tools: Tableau, Hadoop, Google Analytics, DataGrip



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