LiveCareer-Resume

graduate assistant resume example with 3+ years of experience

Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • Home: (555) 432-1000
  • Cell:
  • resumesample@example.com
  • :
Professional Summary

Research Data Analyst highly motivated to explore the underlying story of data by applying and implementing the statistical knowledge 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!

Skills
  • R
  • Python
  • SQL/SPSS/SAS/MATLAB
  • Tableau/Microsoft Power BI/Access/Excel/Word/Outlook
  • Apache Hadoop/Py Spark
  • Predictive Models
  • Dashboards Building/Data Visualization
  • Big Data/Data Mining/Machine Learning Algorithms
  • Statistics
  • Database
  • Git Lab/GitHub
Work History
Graduate Assistant, 08/2019 to 01/2021
University Of UtahFarmington, UT,
  • Importing students housing data of XML/J SON format from a 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 Power BI
  • Developed and maintained Students Microsoft Access Database
  • Established 100% new database of student's past information using Microsoft Access/ SQL queries
  • Developed Dashboard by creating graphs, charts, tables, etc., using resident student's interaction data using Microsoft Power BI/Excel/SPSS/R, etc.
Digital Personal Shopper, 05/2020 to 08/2020
University Of KansasLawrence, KS,
  • 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 %
  • 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 Teaching Assistant, 08/2017 to 08/2019
University Of Nevada RenoCity, STATE,
  • Taught Intermediate Algebra, Pre-Calculus, Introduction to Statistics 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
Education
Master of Science: Statistics and Data Science, Expected in 12/2019 to University of Nevada Reno - Reno, NV,
GPA:
No Degree: Data Science, Expected in to Bowling Green State University - Bowling Green, OH,
GPA:
  • Was in Data Science PhD Program from August 2019 to May 2020
  • Took Data Science Exploration, Data Science Programming, Data Mining, Machine Learning, Big Data Analysis etc. courses
Bachelor of Science: Statistics, Biostatistics & Informatics, Expected in 05/2015 to University of Dhaka - Dhaka, Bangladesh,
GPA:
Research & Projects

A temporal and spatial study of crime committed in Chicago

  • Data cleaning, data manipulation, visualization, checking data quality
  • Feature selection using Correlation Matrix, Chi-Squared Test, PCA, Extra Tree Classifier, Recursive Feature Elimination, etc.
  • Fitting Neural Network Model, Random Forest Model, Logistic Model, SARIMA Models etc.
  • Comparison using Confusion Matrix, ROC, AUC, RMSE etc.
  • Checking Over Sampling/Under Sampling
  • Model evaluation, Predict the odds of Arrest, Predict the future Arrest counts
  • Research paper review, develop the research methodology, research report writing, creating poster, presenting the summary

Computational Issues and Hyper Parameter optimization in LSTM

  • Data Preprocessing, dividing data into training set and validation set for optimizing the hyper-parameter using k-fold cross validation.
  • Implementing Single LSTM, Stacked LSTM, Bidirectional LSTM, and CNN-LSTM models separately for hyper-parameter searching.
  • Compared model performance and computational time using different optimizer, hidden size, learning rate, dropout rate, batch size, embedding vector size etc.
  • Research paper review, develop the research methodology, report writing, creating poster, presentation.

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,
  • Comparison using RMSE, MAPE, Residual Analysis etc.
  • Short term forecast, Long term forecast about the future crime
  • Research paper review, develop the research methodology, research report writing, presenting the summary

Variational Bayesian Inference for Multivariate Normal Distribution

  • Generate random data points from standard normal distribution with known covariance
  • Generate mean and covariance for conjugate prior normal distribution, obtain the true posterior mean analytically
  • Employ ADVI using statistical software, RStan
  • Approximate posterior, calculate means and bias, compute statistics for bias
  • Research paper review, develop the research methodology, poster presentation

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

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

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
  • Graduate Record Examination (GRE): 316 [Verbal: 152 (55th Percentile), Quantitative Reasoning :164 (87th Percentile), Analytical Writing: 3.0 (17th Percentile)]

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Resume Overview

School Attended

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

Job Titles Held:

  • Graduate Assistant
  • Digital Personal Shopper
  • Graduate Teaching Assistant

Degrees

  • Master of Science
  • No Degree
  • Bachelor of Science

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