Accounts Payable Accounting Analyst

MAZVITA LAREN ZIMUNYA

240-***-**** Eddington Drive, McKinney, TX,75071/ *******.*******@***.*** www.linkedin.com/in/mazvita-laren-zimunya-mba

EDUCATION

THE GEORGE WASHINGTON UNIVERSITY, School of Business Washington, DC

Master of Science in Accounting Analytics December 2025

UNIVERSITY OF THE PEOPLE Pasadena, California

Master of Business Administration August 2022

(General Management)

MIDLANDS STATE UNIVERSITY Harare, Zimbabwe

Bachelor of Science Finance and Banking Honors Degree. May 2020

EXPERIENCE

DLA PIPER Austin, Texas

Accounting Analyst January 2021 – July 2024

Analyzed customer accounts & predicted future delinquencies based on historical payment trends.

Used clustering to flag irregular transactions that may trigger audits, reducing tax filing errors by 25%.

Prepared journal entries in Quickbooks online & Clio, completing 50+ journal entries each month, and speeding up the month-end close process by a significant margin.

Followed up on, collected, and allocated payments from customers, managing collections in receivables quarterly, and reducing the average collection period by 15 days.

Received and verified vendor invoices, accurately processing 50+ invoices per month, leading to a 20% reduction in payment processing time, and predicted vendor payment delays to negotiate better terms using Python.

Oversaw full-cycle accounts payable by verifying invoices, coding, processing payments, and handling vendor communication to ensure accuracy and on-time payments

Reconciled e-commerce transactions (PayPal, Braintree, Sezzle, eBay, Amazon) against bank deposits, identified, and resolved discrepancies, and created detailed financial reports for management review.

Processed employee salaries and tracked benefits using Paychex Flex, ensuring smooth payroll operations.

Maintained and managed Sales tax data in Vertex and handled month-end close processes, including managing prepaid and accrual accounts.

JHM MICROFINANCE

Loans Officer (Intern) July 2018 – August 2019

I analyzed time series data to predict default risk, loan demand, repayments rates and seasonal cash flow using ARIMA model for seasonal and non-seasonal data. The data had to be differenced and also applied MAPE to prove model fit. I managed to improve Loan portfolio management, operational efficiency & cost reduction by 15%.

I also took part in applying machine learning modeling using actual data for a JHM partner company to predict default risk of a loan portfolio using multiple models such as Ridge regression, LASSO, regression trees and KNN model.

ADDITIONAL INFORMATION

Leadership: Association of Bankers and Financial Analysts President (Midlands State University).

Skills: GAAP, Tableau, Tax Slayer, SAS, Quickbooks, Xero,

Community: IRS VITA/TCE Certified volunteer preparing individual tax returns for the Montgomery

County District, USA.

Contact this candidate