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Skills

  • Excel Data
  • Excel
  • Excel Data Calculation
  • Python
  • Accounting
  • App Development
  • Data Analysis
  • Data Management
  • Data Mining
  • Editing
  • Excel Charts
  • Excel Dashboard
  • Microsoft
  • Power BI
  • Programming

Services

  • Accounting manager

    $10/hr Starting at $50 Ongoing

    Dedicated Resource

    I have vast work experience that has resulted in a strong understanding of financial and administrative affairs. My skill-set is extensive and well balanced. In addition, I am proficient in accounting...

    AccountingApp DevelopmentData AnalysisData ManagementData Mining

About

I am looking forward to working on a project with you, I like to keep in touch so we both have a clear understanding of our needs and vision of the project we are creating together.

I have a vast work experience that has resulted in a strong understanding of financial and administrative affairs. My skill-set is extensive and well balanced. In addition, I am proficient in accounting programs, such as Retail Management System (RMS), Comsys, System Application and Products (SAP), Sun System, advanced Microsoft Excel, and AS/400 database, Tableau, Python programming language and its libraries (NumPy, Pandas, Matplotlib, etc.) and various data wrangling and analysis methods that are being used in the industry today. Going through the whole data analysis process: gathering data, cleaning data, storing data, analyzing data, and finally visualizing the data and get findings.

In my role as an Accounting Manager with Delta Company for Construction and Roads, I monitoring and coordinating daily accounting activities, some of these responsibilities include analyzing accounting data, generating financial reports and budgets, reviewing various taxes returns (such as payroll tax, withholding tax, value-added tax, real estate tax, royalty tax, corporate tax, any other applicable taxes), control and report all the tax liabilities, follow up the taxes files inspection and any outstanding transaction with the tax authorities, tracking debt activity, adhering to accounting principles, organizing regular audits, recruiting and training staff, and maintaining organization accounting information confidential.

My skill-set and industry expertise are comprehensive and up-to-date. I make it my top priority to see that all procurement activities are done well and efficiently. My career has also seen its share of achievements; for instance, while working as a purchasing manager at S.W. Dental Centre, I responsible for forecast levels of demand for services and products, keep a constant check on stock levels, conduct research to ascertain the best products and supplies in terms of best value, delivery schedules and quality, and develop and set up a supplies data base...

Work Terms

I can dedicate more than 40 hours per week and make every effort to match your timezone and achieve your task, with $10 per hour, starting at $50.

When working on a project with you, I like to keep in touch so we both have a clear understanding of our needs and vision of the project we are creating together.

I have a vast work experience that has resulted in a strong understanding of financial and administrative affairs. My skill-set is extensive and well balanced. In addition, I am proficient in accounting programs, such as Retail Management System (RMS), Comsys, System Application and Products (SAP), Sun System, advanced Microsoft Excel, and AS/400 database, Tableau and data modeling, Python programming language and its libraries (NumPy, Pandas, Matplotlib, Scipy, Scikit-learn, Tweepy, Requests, etc.) and various data wrangling and analysis methods that are being used in the industry today. Going through the whole data analysis process: gathering data, cleaning data, storing data, analyzing data, and finally visualizing the data and get findings.
Through Data Analysis Nanodegree Program from Udacity, I learned various data wrangling methods that are being used in the industry today. For one of its wrangling projects, I was given an opportunity to go through the whole data analysis process: gathering data, cleaning data, analyzing data, and finally visualizing the data.