LiveCareer-Resume

digital personal shopper resume example with 3+ years of experience

Jessica
Claire
resumesample@example.com
(555) 432-1000,
Montgomery Street, San Francisco, CA 94105
:
Professional Summary

Results-driven Management Consultant adept at helping companies improve operational efficiency, team productivity and employee motivation. Hands-on leader with exceptional organizational, critical thinking and prioritization skills. Possessing two years of related experience and passion for contributing to business success.

Skills
  • Python
  • R
  • SQL
  • Tableau
  • Microsoft Power BI
  • Microsoft Access/SAS/SPSS/MATLAB
  • Apache Hadoop/Py Spark/Map Reduce/Impala/Hive/No SQL
  • Data Analysis
  • Predictive Models
  • Data Visualization/Dashboards Building
  • Machine Learning Algorithms /Data Mining/Big Data Analytics
  • Database Management
  • Project Management
  • Business Analysis
  • Collaborative work
  • Git Lab/GitHub
Education
University of Nevada Reno Reno, NV, Expected in 12/2019 Master of Science : Statistics and Data Science - GPA :
Bowling Green State University Bowling Green, OH Expected in No Degree : Data Science - GPA :
  • Was in Data Science PhD Program from August 2019 to May 2020
  • Coursework in Data Science Exploration, Data Science Programming, Data Mining, Machine Learning, Big Data Analysis etc.
University of Dhaka Dhaka , Bangladesh, Expected in 05/2015 Bachelor of Science : Statistics, Biostatistics & Informatics - GPA :
Work History
University Of Nebraska At Omaha - Digital Personal Shopper
Omaha, NE, 05/2020 - Current
  • Learned how to deal with customer in professional manner
  • Team was able to decrease customer wait time by 98%
  • Team was able to increase sale by significant amount by reaching item delivery by 99.9 %
  • Store introduced express delivery and was able to take care of express delivery which was good opportunity to directly deal with customer and learned how to work in extreme pressure!
  • Learned how to work in team by collaborating with other team member in friendly but efficient manner.
  • Collaborated with managers to provide customer feedback and recommend operational changes to meet emerging trends.
  • Celebrated $30 million sale
Ohsu - Graduate Assistant
La Grande, OR, 08/2019 - Current
  • Importing students housing data of XML/J SON format from server using both Python and Microsoft Power BI
  • Performed data cleaning, Data manipulation, Predictive Model fitting, Model Comparison for student housing application data using both R and Python
  • Performed Importing, Modification, joining, Creating new tables for resident student's data from Microsoft share point using SQL queries/Microsoft Access Database/Microsoft Power BI
  • Established 100% new historic database of student's past information using Microsoft Access/ SQL queries
  • Developed Dashboards for resident student's interaction data using Microsoft Power BI
University Of Nevada Reno - Graduate Teaching Assistant
City, STATE, 08/2017 - 08/2019
  • Taught Intermediate Algebra, Pre-Calculus, Introduction to Statistics etc. College-level courses for over 60 students
  • Checked assignments, proctored tests, and provided grades according to university standards
  • Mentored students through office hours and one-on-one communication
  • Increased presentation/communication skill by working with student from different aspects/cultures
Research & Projects

A temporal and spatial study of crime committed in Chicago

  • Data cleaning, data manipulation, visualization, Imbalanced data
  • PCA, K-Means Clustering, Extra Tree Classifier, Recursive Feature Selection, etc.
  • Fitting Neural Network Model, Random Forest Model, Logistic Model, etc.
  • Comparison using Confusion Matrix, ROC, AUC, etc.
  • Checking Oversampling/Under Sampling, Predict the future Arrest Counts

Daily Crime Data in Chicago for the year 2012-2017

  • Data cleaning, data manipulation, visualization, checking ACF, PACF, PCA, etc.
  • Checking/removing Seasonality, Fitting SARIMA, Neural Network, Holt-Winters, etc. Models, compare models using RMSE, MAPE, Residual Analysis etc.
  • Short term forecast, Long term forecast about the future crime

How does Sepal Width, Petal Length, Petal Width explain Sepal Length in different species of iris plant?

  • Checking/Removing Outliers, Influential Observations, Residual Analysis, Sensitivity Analysis, Checking Collinearity
  • Finding the best model that can explain the maximum variability by R-Squared, Adjusted RSquared

Factors that determine the Gasoline Consumption

  • Checked the assumptions of multiple linear regression model and transformed the data for violation of any assumptions

A Study on Improving Livelihood of Rural Women Through Income Generating Activities in Bangladesh

  • Hands-on experience in collecting primary data, designing the framework of the questionnaire and analyzing those data to deliver valid inferences for assessing the overall status of rural women
Accomplishments
  • Certificate for completing Machine Learning with Tree-Based Models in R from DataCamp
  • Certificate for completing Unsupervised Learning in R from DataCamp
  • Certificate for completing Fundamentals of Bayesian Data Analysis in R from DataCamp
  • Certificate for completing Fundamentals of Visualization with Tableau from Coursera
  • Certificate for completing SQL for Data Science from Coursera

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Resume Overview

School Attended

  • University of Nevada Reno
  • Bowling Green State University
  • University of Dhaka

Job Titles Held:

  • Digital Personal Shopper
  • Graduate Assistant
  • Graduate Teaching Assistant

Degrees

  • Master of Science
  • No Degree
  • Bachelor of Science

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