Khine Chin Chin Soe

Wooster, OH 330-***-**** ad47vw@r.postjobfree.com LinkedIn

EDUCATION

The College of Wooster Wooster, OH

Mathematics, B.A. (Honors) Data Science & Economics, Minor GPA: 3.94 Dean’s List May 2024

● Affiliations: Pi Mu Epsilon, Research Departmental Honors, The William H. Wilson Prize in Mathematics WORK EXPERIENCE

The College of Wooster Wooster, OH

Data Analyst Intern May 2023 - Present

● Analyze large datasets of 1.5K domestic/international applicant data in Excel by using conditional formatting and in SQL by using the SELECT command to create databases based on various demographics.

● Identify the largest source of the college’s students (domestically & internationally) compared to other colleges by analyzing enrollment trends from external data to determine Wooster’s competitive performance.

● Raise enrollment deposits & retention rates by finding key factors that affect students’ decisions by creating word clouds from the text data to uncover key words on students’ motivations & inform marketing strategy.

● Create 4 Tableau dashboards by cleaning datasets in R & Excel and merging it with the external data via SQL commands to communicate findings around admission & enrollment metrics to the school’s leadership team. Research Assistant February 2022 - May 2023

● Designed and implemented an interactive web application using RStudio packages like dplyr, tidyverse, ggplot, and shiny to analyze the data, create the web app, and implement the user interface.

● Integrated statistical libraries & data manipulation techniques by encoding new variables to create visualizations

(box plots, bar/pie charts) relevant to the user data to promote data literacy among students. Goodyear Tire and Rubber Company Akron, OH

Data Analyst Intern May 2022 - July 2022

● Cleaned large datasets of radial aircraft tire design parameters, performance, and stiffness data using Excel and RStudio by building models for 3 types of stiffness in the data via factor selection & data analysis,

● Applied knowledge in feature engineering and statistical analysis by finding key features influencing tire stiffness by creating scatterplots, heatmaps, etc. to select the best fit model with the best predictors.

● Developed 3 regression machine learning models to estimate the stiffness of 3 types of radial aircraft tires with an accuracy of ~92% pre-production by adjusting the measurements of the input parameters.

● Improved manufacturing efficiency by allowing the client to find key metrics & derive its estimate pre- production which provided the capability to apply the measurement’s range to the desired stiffness. PROJECT EXPERIENCE

Detecting Intimate Partner Violence in Relationships (Machine Learning) August 2023 – December 2023

● A two-semester long senior capstone research resulting in an 83-page paper, finalized ML models and a successful oral defense.

● Cleaned the data from a DoJ longitudinal study in Excel and pre-processed the data in Python as the variables were encoded so they were relevant to use for further analysis and model-building steps.

● Implemented 6 ML models (logistic regression, decision tree & random forest) that used the childhood and adolescent experiences with the most significant impacts on determining intimate partner violence with ~75% accuracy on average.

Job Reviews in the UK Recruitment Market (Sentiment Analysis) April 2023

● Classified the sentiment prevalent among company job reviews by their employees in 4 industries like tech, retail, HR, and marketing with the Bing lexicon in R to create word clouds & perform sentiment analyses.

● Investigated patterns on compensation & career advancement associated with job satisfaction using K-means clustering to create Tableau dashboards showing key metrics on career advancement in a 20-page report. TECHNICAL SKILLS

Technical Tools: Excel, R, Python, SQL, Stata, Tableau, PowerBI, Jupyter Notebook, Slate, Google Analytics Technical Skills: Data Cleaning, Exploratory Data Analysis, Data Visualization, Predictive Modeling, Machine Learning, Time Series Analysis, Sentiment Analysis, Research, Critical Thinking, Communication, Problem Solving

Contact this candidate