Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • Date of Birth:
  • India:
  • :
  • single:
Professional Summary

Data Analyst highly motivated to explore the underlying story of data by applying and implementing the knowledge of statistics and different programming languages. Love to prepare/pre-process data for a workable format for further analysis or storing by enjoying the painstaking part of data cleaning. Present the underlying story of data with visualization in a simple way that is informative and understandable for the people with even no knowledge of statistics or any programming skills after deep analysis of model fitting and comparing in case of both structured and unstructured data

  • Python
  • R
  • SQL
  • Tableau
  • Microsoft Power BI
  • Microsoft Access/SAS/SPSS/MATLAB
  • Apache Hadoop/Py Spark/Map Reduce/Impala/Hive/No SQL
  • Data Analysis
  • Decision Making
  • Predictive Models/Writing Skills
  • Dashboards Building
  • Machine Learning Algorithms /Data Mining/Big Data Analytics
  • Database Management
  • Data Visualization
  • Business Intelligence
  • Strategic Thinking
  • Web Scraping (Html/XML/JSON)
Master of Science: Statistics and Data Science, Expected in 12/2019
University of Nevada Reno - Reno, NV,
No Degree: Data Science, Expected in
Bowling Green State University - Bowling Green, OH
  • 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.
Bachelor of Science: Statistics, Biostatistics & Informatics, Expected in 05/2015
University of Dhaka - Dhaka , Bangladesh,
Work History
Digital Personal Shopper, 05/2020 - Current
Rutgers University New Brunswick, NJ,
  • 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
Graduate Assistant, 08/2019 - Current
Metropolitan State University Of Denver Denver, CO,
  • 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
Graduate Teaching Assistant, 08/2017 - 08/2019
University Of Nevada Reno City, STATE,
  • 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
  • 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


  • Master of Science
  • No Degree
  • Bachelor of Science

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

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