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Graduate Assistant Resume Example

Resume Score: 80%

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MR
GRADUATE ASSISTANT
Professional Summary

Research Data Specialist 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!

Work History
Bowling Green State University - Graduate AssistantBowling Green, OH08/2019 - 01/2021
  • 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.
Walmart - Digital Personal ShopperBowling Green, OH05/2020 - 08/2020
  • 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
University Of Nevada Reno - Graduate Teaching AssistantReno, NV08/2017 - 08/2019
  • 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
Research & Projects

A temporal and spatial study of crime committed in Chicago

  • Data cleaning, data manipulation, visualization, checking data quality
  • 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
  • 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 model to this data set 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, compare models 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)]
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
Education
12/2019University of Nevada RenoReno, NV, USAMaster of Science: Statistics and Data Science
Bowling Green State UniversityBowling Green, OH, USANo Degree: Data Science
  • 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
05/2015University of DhakaDhaka, Bangladesh, BangladeshBachelor of Science: Statistics, Biostatistics & Informatics
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Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.

Resume Overview

Companies Worked For:

  • Bowling Green State University
  • Walmart
  • University Of Nevada Reno

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 : Statistics and Data Science
    No Degree : Data Science
    Bachelor of Science : Statistics, Biostatistics & Informatics

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