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layout: cv title: Mthabisi Munyariri’s Resume

Mthabisi Munyariri

Business Analytics (Finance Minor)

munyariri94@gmail.com | LinkedIn Profile | Open to relocating

Education

Brigham Young University - Idaho (Rexburg, ID)
Bachelor of Science - Business Analytics (Minor in Finance), Jan 2020 - Dec 2024
GPA: 3.6

  • Area of Interest: Assets Management, Generative AI, Financial Analytics, Data Analytics, and Risk Management
  • Academic Scholarships: Hopkin Foundation 2021-2024 and Ray Greenly Scholarship 2024
  • Societies: Data Analytics Society, Digital Marketing Society, and Accounting Society

Experience

Sales Operations Intern

CHG Healthcare (Salt Lake City, UT), May 2024 - Aug 2024

  • Revamped data integrity by 37% through meticulous data scrubbing and updating of over 5,000 customer records, enhancing overall data quality for analytics.
  • Generated 215 actionable insights from customer data, contributing to a 12% increase in the quarterly sales pipeline and informing Go-to-Market strategies.
  • Streamlined data analysis processes, reducing average report generation time by 28% and handling 150+ data requests per month from various departments.
  • Collaborated with management to deliver 18 comprehensive business analytics reports, improving operational efficiency by 22% across multiple teams.

Data Collection and Analysis Intern

Velociti Inc (Salt Lake City, UT), Sep 2023 - Dec 2023

  • Performed daily data collection through Velogic Tech app to capture Amazon EV charging activities, enabling comprehensive analytics.
  • Utilized Pandas and Excel for weekly data analysis, identifying 15% faster EV charging efficiency and 20% lower fulfillment error rates.
  • Communicated findings and recommendations to Amazon OTR to enhance consistency in EV charging practices and ensure accurate data collection.

Projects

Data Science Society Projects

(Rexburg, ID), Jan 2023 - Dec 2024

  • Led a 5-person team in implementing a MySQL database system to streamline inventory management for Madison Fire Department, ensuring accurate storage of critical inventory information.
  • Applied Excel pivot tables for detailed inventory analysis, resulting in a comprehensive management timetable and an annual funding increase from $157,000 to $325,000.
  • Partnered with a 10-person team to create a Python program for inventory analysis, boosting safety from 75% to 99% and protecting firefighting personnel.

Skills

  • Microsoft Excel: Pivot Tables, Macros, Data Visualization, Lookup Formulas, Power Query, VBA
  • R Programming: Tidyverse, ggplot2, rvest, Mosaic, Car
  • Python: Pandas, NumPy, Plotly, Seaborn, Matplotlib, Scikit-learn
  • Business Intelligence Tools: Tableau, Power BI
  • Databases: SQLite, MySQL, Snowflake
  • Machine Learning: Linear and Logistic Regression, Decision Trees, Neural Networks, SVM, Naive Bayes
  • Finance: Financial Analysis, Financial Modeling, Financial Forecasting, Valuation Techniques, Portfolio Management, Risk Assessment, Asset Allocation, Market Analysis
  • Statistics: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Regression Analysis, Time Series Analysis
  • Soft Skills: Collaboration, Data Analysis, Problem Solving, Communication, Emotional Intelligence, Time Management, Project Management, Leadership, Attention to Detail, Critical Thinking
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